Range Dependent Variable Length Encoding discuss the design of

ange Dependent Variable Length e of the received power noise floors in different enco Uniform Dynamic Range encoding (UDRE).

might happen

hod (CRM) algorithm is mentation complexity and cost.

Received Signal Power Profile

has shown how the simple radar equation is obtained y medium is characterized by the following equation. ed power, is the RCS, is the attenuation factor of the lossy medium. It can be clearly seen that the received power her conditions are the same. ill have different power level incoming data, the sRS will have a decreasing magnitude along the range (or Figure 4-1 In reality, the received power and range relationship is not that ideal power of range and If the distance between the radar and the target is there will be much more energy curve drops dow

cases in the above figure. For a

ster than the previous two Though more sophisticated than

received power

Range Dependent Variable Length Encoding

discuss the design of

ange Dependent Variable Length e the received power noise floors in different enco Uniform Dynamic Range encoding (UDRE).

might happen resulting hod (CRM) algorithm is mentation complexity and cost.

Received Signal Power Profile

has shown how the simple radar equation is obtained medium is characterized by the following equation. power, is the RCS, is the attenuation factor of the lossy medium. the received power her conditions are the same. ill have different power level incoming data, the sRS will have a decreasing magnitude along the range (or

1 Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal Figure

If the distance between the radar and the target is there will be much more energy curve drops dow

For a

ster than the previous two Though more sophisticated than

received power

Range Dependent Variable Length Encoding

discuss the design of

ange Dependent Variable Length e the received power noise floors in different enco Uniform Dynamic Range encoding (UDRE).

resulting hod (CRM) algorithm is

Received Signal Power Profile

has shown how the simple radar equation is obtained

medium is characterized by the following equation.

P r W

power,

is the RCS, is the wave length, is the attenuation factor of the lossy medium.

the received power her conditions are the same. ill have different power level

incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal Figure

If the distance between the radar and the target is there will be much more energy

curve drops down slower in the beginning part which For a fara

ster than the previous two Though more sophisticated than a

received power

Range Dependent Variable Length Encoding

discuss the design of

ange Dependent Variable Length e the received power noise floors in different enco Uniform Dynamic Range encoding (UDRE).

resulting hod (CRM) algorithm is

Received Signal Power Profile

has shown how the simple radar equation is obtained medium is characterized by the following equation.



r P r W power, is the wave length, is the attenuation factor of the lossy medium. the received power her conditions are the same. ill have different power level incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal Figure 4-

If the distance between the radar and the target is there will be much more energy

n slower in the beginning part which away

ster than the previous two single

received power relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

discuss the design of ange Dependent Variable Length e

the received power noise floors in different enco Uniform Dynamic Range encoding (UDRE).

resulting in hod (CRM) algorithm is

Received Signal Power Profile

has shown how the simple radar equation is obtained medium is characterized by the following equation.



r P r  W and

is the wave length, is the attenuation factor of the lossy medium.

the received power her conditions are the same. ill have different power level

incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal -1 shows three different scenarios If the distance between the radar and the target is

there will be much more energy

n slower in the beginning part which

way target, only part of the beam illuminates the target and ster than the previous two

single

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

discuss the design of ange Dependent Variable Length e

the received power

noise floors in different encoding regions are raised differently according to the Uniform Dynamic Range encoding (UDRE).

in fake target peaks. To deal with this problem, a Cli hod (CRM) algorithm is

Received Signal Power Profile

has shown how the simple radar equation is obtained

medium is characterized by the following equation.



P r  W

and

is the wave length, is the attenuation factor of the lossy medium.

the received power her conditions are the same. ill have different power level

incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios If the distance between the radar and the target is

there will be much more energy

n slower in the beginning part which

target, only part of the beam illuminates the target and ster than the previous two

single radar equation, this 3

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

discuss the design of one of the two ange Dependent Variable Length e

the received power

ding regions are raised differently according to the Uniform Dynamic Range encoding (UDRE). Due

fake target peaks. To deal with this problem, a Cli hod (CRM) algorithm is proposed with

Received Signal Power Profile

has shown how the simple radar equation is obtained medium is characterized by the following equation.



4 t t r P G G P r W π 

are the radar transmitting and receiving antenna is the wave length, is the attenuation factor of the lossy medium. the received power her conditions are the same. ill have different power levels which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios If the distance between the radar and the target is

there will be much more energy

n slower in the beginning part which

target, only part of the beam illuminates the target and ster than the previous two

radar equation, this 3

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

one of the two ange Dependent Variable Length e

the received power-range model. To further improve the compre ding regions are raised differently according to the Due fake target peaks. To deal with this problem, a Cli proposed with has shown how the simple radar equation is obtained medium is characterized by the following equation.



3 4 2 4 t t r P G G P r W π r L r

are the radar transmitting and receiving antenna is the wave length, is the attenuation factor of the lossy medium. ( her conditions are the same. This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios If the distance between the radar and the target is

there will be much more energy

n slower in the beginning part which

target, only part of the beam illuminates the target and ster than the previous two

radar equation, this 3

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

one of the two ange Dependent Variable Length encoding (RDVLE)

range model. To further improve the compre ding regions are raised differently according to the Due to fake target peaks. To deal with this problem, a Cli proposed with has shown how the simple radar equation is obtained medium is characterized by the following equation. 3 _{4 2} t t r m P G G σλ P r W r L r

are the radar transmitting and receiving antenna is the wave length, is the attenuation factor of the lossy medium. ( ) is inversely proportional to the 4 This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios If the distance between the radar and the target is small

there will be much more energy scattered back to the radar n slower in the beginning part which

target, only part of the beam illuminates the target and ster than the previous two cases

radar equation, this 3

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

one of the two ncoding (RDVLE) range model. To further improve the compre ding regions are raised differently according to the to the fake target peaks. To deal with this problem, a Cli proposed with has shown how the simple radar equation is obtained medium is characterized by the following equation.



2 4 2 t t r m λ P r W r L r

are the radar transmitting and receiving antenna is the wave length, is the attenuation factor of the lossy medium. ( )is inversely proportional to the 4 This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios

small, the target acts like a scattered back to the radar n slower in the beginning part which

target, only part of the beam illuminates the target and cases.

radar equation, this 3

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

one of the two ncoding (RDVLE) range model. To further improve the compre ding regions are raised differently according to the the statistical nature of the incom fake target peaks. To deal with this problem, a Cli proposed with has shown how the simple radar equation is obtained medium is characterized by the following equation.





2 λ P r W r L r

are the radar transmitting and receiving antenna is the is the attenuation factor of the lossy medium. is inversely proportional to the 4 This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios

, the target acts like a scattered back to the radar n slower in the beginning part which

target, only part of the beam illuminates the target and

radar equation, this 3

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

one of the two data compression ncoding (RDVLE) range model. To further improve the compre ding regions are raised differently according to the statistical nature of the incom fake target peaks. To deal with this problem, a Cli

proposed with consideration of hardware impl

has shown how the simple radar equation is obtained

medium is characterized by the following equation.



P r W

r L r

are the radar transmitting and receiving antenna is the is inversely proportional to the 4 This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios

, the target acts like a scattered back to the radar n slower in the beginning part which

target, only part of the beam illuminates the target and radar equation, this 3

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

data compression ncoding (RDVLE) range model. To further improve the compre ding regions are raised differently according to the statistical nature of the incom fake target peaks. To deal with this problem, a Cli

consideration of hardware impl

has shown how the simple radar equation is obtained

medium is characterized by the following equation.



P r W

are the radar transmitting and receiving antenna is the range

is inversely proportional to the 4

This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios

, the target acts like a scattered back to the radar n slower in the beginning part which

target, only part of the beam illuminates the target and radar equation, this 3-section model

relationship will be even more complicated with consider

Range Dependent Variable Length Encoding

consideration of hardware impl

has shown how the simple radar equation is obtained

medium is characterized by the following equation.

are the radar transmitting and receiving antenna range

is inversely proportional to the 4

This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal shows three different scenarios

, the target acts like a scattered back to the radar n slower in the beginning part which

target, only part of the beam illuminates the target and section model

relationship will be even more complicated with consider data compression

ncoding (RDVLE). It’s a lossy compression range model. To further improve the compre ding regions are raised differently according to the

statistical nature of the incom fake target peaks. To deal with this problem, a Cli

consideration of hardware impl

has shown how the simple radar equation is obtained. The received echo power medium is characterized by the following equation.

are the radar transmitting and receiving antenna between the radar and the is inversely proportional to the 4

This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or

Range vs. Received power in different scenario

In reality, the received power and range relationship is not that ideal as inversely proportional shows three different scenarios.

, the target acts like a scattered back to the radar n slower in the beginning part which is

target, only part of the beam illuminates the target and section model

relationship will be even more complicated with consider data compression

. It’s a lossy compression range model. To further improve the compre ding regions are raised differently according to the

statistical nature of the incom fake target peaks. To deal with this problem, a Cli

consideration of hardware impl

The received echo power medium is characterized by the following equation.

are the radar transmitting and receiving antenna between the radar and the is inversely proportional to the 4 This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or [57] as inversely proportional . , the target acts like a scattered back to the radar

is shown in the first two target, only part of the beam illuminates the target and

section model

relationship will be even more complicated with consider data compression

. It’s a lossy compression range model. To further improve the compre ding regions are raised differently according to the

statistical nature of the incom fake target peaks. To deal with this problem, a Cli

consideration of hardware impl

The received echo power medium is characterized by the following equation.

scattered back to the radar

shown in the first two target, only part of the beam illuminates the target and

section model

relationship will be even more complicated with consider data compression schemes

. It’s a lossy compression range model. To further improve the compre ding regions are raised differently according to the

statistical nature of the incom fake target peaks. To deal with this problem, a Cli

consideration of hardware impl

The received echo power medium is characterized by the following equation.

are the radar transmitting and receiving antenna between the radar and the is inversely proportional to the 4 This means different echoes from targets at di which is governed by the radar equation. incoming data, the sRS will have a decreasing magnitude along the range (or as inversely proportional , the target acts like an electromagnetic scattered back to the radar

shown in the first two

In document Embedded Data Compression for Automotive FMCW Radar System (Page 33-35)