joint estimation-detection algorithm
Reduced Complexity Near Optimum Genetic Algorithm Assisted Multiuser Detection for Synchronous Multicarrier CDMA
... “Genetic algorithm assisted joint multiuser symbol detection and fading channel estimation for synchronous CDMA systems:’ IEEE Joumal on Selected Areas in Communicarions.. Hanzo, “Geneti[r] ...
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Track-before-detect procedures for detection of extended object
... both detection and estimation of state and size parameters of an extended target in the TBD ...for joint detection and estimation of an extended target state and size para- ...The ...
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Joint CFO Estimation and Data Detection in OFDM systems
... ML algorithm can be easily implemented compared with the EM ...ML algorithm as a sequence detector in fading channels typically has prohibitive computational ...EM algorithm can be used an iterative ...
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An Evolutionary Approach for Joint Blind Multichannel Estimation and Order Detection
... search algorithm that mimics the process of biological evolution. The algorithm begins with a collec- tion of parameter estimates (called a chromosome) and each is evaluated for its fitness for solving a ...
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Joint Interference Estimation and Detection in Uplink of Massive MIMO System
... interpolation algorithm to obtain the initial estimated channel value at the entire frequency point, the initial estimated channel response values are then used for ...interference estimation unit. The ...
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Joint Maximum Likelihood Channel Estimation and Data Detection for MIMO Systems
... semi-blind joint maximum likelihood (ML) channel and data estimation schemes for MIMO ...the joint ML optimisation process for channel and data estimation is decomposed into two ...
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Genetic algorithm assisted Joint multiuser symbol detection and fading channel estimation for synchronous CDMA systems
... The crossover operation is then repeated for different parents selected with equal probability from the mating pool in order to produce offspring out of which will become potential parents and in turn will produce ...
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Interference State Estimation Based Weight Setting for Multichannel Joint Detection
... fusion algorithm for target detection [1], and this system also works well under time-varying interference ...However, detection challenges caused by moving targets, have not been paid enough ...
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Semi Blind Reception Using Joint Channel Estimation in IDMA Systems
... coefficient estimation is usually performed using known training sequences which are periodically transmitted (for instance, at the start of each frame), implicitly assuming that the channel does not vary between ...
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Remotely-sensed TOA interpretation of synthetic UWB based on neural networks
... (TOA) estimation of the UWB signals is very ...TOA estimation, a new threshold selection algorithm using Artificial Neural Networks (ANN) is proposed which is based on a joint metric of the ...
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Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems
... The single-input multiple-output (SIMO) system, con- sisting of a single-antenna transmitter and a receiver equipped with multiple antennas, has enjoyed popularity owing to its simplicity. A space-time equaliser (STE) ...
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Joint Detection and Hop Parameters Estimation of Slow FHSS/MFSK Signals Using DHWT-AC Technique in Rayleigh Block Fading Channels
... parameter estimation of FHSS signals (without MFSK modulation) ...aforementioned algorithm has good performance even when the signal level is below the noise level, as will be shown in the next ...
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Iterative Joint Channel Estimation and Multi User Detection for Multiple Antenna Aided OFDM Systems
... channel estimation tech- niques have been proposed for MIMO-OFDM systems [7]– ...[20] estimation algorithms as well as the QR Decomposition combined with the M-algorithm (QRD-M) [21], [22] or ...
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A New Algorithm for Joint Range DOA Frequency Estimation of Near Field Sources
... the joint estimation problem of ranges, DOAs, and frequencies of near-field narrowband sources and pro- poses a new computationally efficient algorithm, which employs a symmetric uniform linear array, ...
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PARALIND-based blind joint angle and delay estimation for multipath signals with uniform linear array
... assume single path propagation. a . In multipath propaga- tion scenario, linear dependency factors usually occur in one or/and two mode matrices of the data model, where PARAFAC analysis will fail to provide meaningful ...
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Predicting the Hypoxic‐Volume in Chesapeake Bay with the Streeter–Phelps Model: A Bayesian Approach 1
... hypoxic volume data though raises a basic problem in that model fitting is now based on one datum per year, that is, annual hypoxic volume, and therefore the empirical estimation of year-specific parameters ...
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Fast 2-D DOA and Polarization Estimation Using Arbitrary Conformal Antenna Array
... We begin by considering an arbitrary configuration polarimetric array with M antenna elements (Note that for 2-D DOA estimation, we need an array with 2-D configuration. 1-D linear array is not included in the ...
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Object -Based Forgery Detection in Video by Motion Estimation Algorithm
... well-known algorithm that is robust against repetitive motions, illumination changes and long-term scene ...another algorithm that has significant robustness against shadow, noise, lighting changes, ...
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Experiments with repeating weighted boosting search for optimization in signal processing applications
... AdaBoost algorithm of [26] is modified to adapt the weightings , in this weighted boosting search ...learning algorithm, and the effectiveness of the boosting strategy for a wide rang of machine learning ...
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Study and Development of Novel Techniques for PHY-Layer Optimization of Smart Terminals in the Context of Next-Generation Mobile Communications
... Future mobile broadband communications working over wireless channels are required to provide high performance services in terms of speed, capacity, and quality. A key issue to be considered is the design of ...
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