space time adaptive signal processing
Reduced Rank Adaptive Filtering Using Krylov Subspace
... [16] space-time adaptive signal ...sub- space methods are widely used in computational linear al- gebra for solving large (possibly sparse) systems of linear equations [17, 18, ...
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To the theory of adaptive signal processing in systems with centrally symmetric receive channels
... The main result of this work is the derivation of the pdfs (37) and (49) of random M × M real-valued and complex-valued ML estimates (21) and (36) of persym- metric CMs (2) and (11) of multivariate Gaussian pro- cesses ...
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Research on Space-Time Adaptive Processing with Respect to the Signal Powers
... Space-time adaptive processing (STAP) [1–4] is a crucial technique of clutter suppression and target detection for airborne/spaceborne moving target indicator (MTI) ...dimensional ...
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Signal space based adaptive modulation for software radio
... a signal in the case when the modulation scheme class is not known a priori, and can be used for both digital and analogue modulation ...reduced processing time over existing modulation detection ...
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Space-Time Adaptive Processing Based on Weighted Regularized Sparse Recovery
... arises is how to design the weight matrix W. Intuitively, the weights should change with the signal environments. Moreover, they should be inversely proportional to the true signal magnitude. However, it is ...
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Adaptive reconstruction for azimuth signal of multichannel HRWS SAR imaging system
... azimuth signal of multichannel SAR can be reconstructed by digital beamforming (DBF) techniques in range-Doppler ...post-Doppler space-time adaptive processing (STAP) method [4] are two ...
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A Virtual Space-Time Adaptive Beamforming Method for Space-Time Antijamming
... sub-band adaptive array (SBAA) is put forward in [18, ...parallel processing at high speed and reduce the computational ...frequency adaptive processing, which transfers the temporal domain ...
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Signal Adaptive System for Space/Spatial-Frequency Analysis
... the processing speed is lowered, especially if the MCI designs of such systems are preferred, ...special signal adaptive MCI hardware design for S/SF analysis has been developed (and verified) based ...
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Subband Array Implementations for Space Time Adaptive Processing
... The applications of wireless communications are rapidly ex- panding from voice transmission to a wide class of mul- timedia information. With such increasing needs, wireless communication systems are developing toward ...
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FPGA Implementation of Space-Time Adaptive Processing (STAP) Algorithm for Target Detection in Passive Radars
... Much of the research has been done on STAP with active radars using uniform linear array (ULA) [3, 10, 11] and circular array [4, 5, 7]. Some of the research exists on the clutter suppression of airborne radar [25–27]. ...
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Robust adaptive monopulse algorithm based on main lobe constraints and subspace tracking
... into signal-processing-based beamforming ...sub- space and the reduced-rank subspace, the subspace track- ing based beamforming methods [20, 31] and space-time adaptive ...
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A Space/Fast-Time Adaptive Monopulse Technique
... The proposed approach is not offered as a competing ap- proach to existing STAP monopulse techniques, but rather, as a treatment of the specific problem of angle estimation when either TSI alone or mainbeam jamming ...
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Robust Space Time Adaptive Processing in Heterogeneous Environment
... target signal, in this case, the proposed method is tend to select target signal when the CUT contain target ...target signal results in target self-nulling and the output ...
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Reduced dimension space time adaptive processing based on angle Doppler correlation coefficient
... the space-time filter weights to maximize output signal-to-interference- plus-noise ratio (SINR) adaptively with DOF as less as ...the space-time multiple-beam (STMB) [9] have been ...
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Complex-Valued Adaptive Signal Processing Using Nonlinear Functions
... complex-valued adaptive sig- nal processing based on Wirtinger calculus for the e ffi cient computation of algorithms and their ...nonlinear adaptive algorithms such as ICA using the relative gradient ...
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Robust Adaptive Time Delay Estimation for Speaker Localization in Noisy and Reverberant Acoustic Environments
... Two adaptive algorithms are presented for robust time delay estimation (TDE) in acoustic environments with a large amount of background noise and ...an adaptive eigenvalue decomposition (EVD) ...
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Active hearing mechanisms inspire adaptive amplification in an acoustic sensor system
... and processing signals in a very power- and size-effective ...of signal processing at the sensor ...an adaptive acoustic sensor system concept that can be exploit by sensor and system ...
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MST radar signal processing using iterative adaptive approach
... Power spectrum is the considerable aspect in the atmospheric radar data processing to estimate wind parameters. Due to the poor resolution and high sidelobe level problems of the existing algorithms, there is a ...
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Blind Channel Equalization Using Adaptive Signal Processing Algorithms
... Abstract – The objective of this paper is to investigate the blind channel equalization using least mean square (LMS) algorithm and its variants. Digital transmission systems impose the application of channel equalizers ...
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Space Time Chip Equalization for Maximum Diversity Space Time Block Coded DS CDMA Downlink Transmission
... (MUI). Space-time chip equalization is an efficient tool to restore the orthogonality of the user signals and suppress the ...on space-time block coding (STBC) techniques, and aims at combining ...
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