Journal Article10.1109/TCSII.2022.3201240
A Variable Step Size Gradient-Descent TLS Algorithm for Efficient DOA Estimation
Haiquan Zhao,Wenjing Luo,Yalin Liu,Chen Wang +3 more
- 01 Dec 2022
Vol. 69, pp 5144-5148
6
TL;DR: In this article , a variable step-size gradient descent total least squares (VSS-GDTLS) algorithm is proposed to estimate the direction of the angle of arrival (DOA) by searching the peak of the spatial spectrum.
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Abstract: The direction-of-arrival (DOA) estimation model of this brief is based on deviation compensation model with input noise, and the performance of the traditional Least mean square (LMS) adaptive algorithm shows poor performance. Instead, total least squares (TLS) algorithm is widely used in models which contains input noise. Therefore, we present TLS algorithm for DOA estimation, which is used to update weight coefficient by searching the peak of the spatial spectrum to estimate the direction of the angle of arrival. Due to the unsatisfactory DOA estimation performance on fixed step algorithms, a variable step-size gradient descent total least-squares (VSS-GDTLS) is proposed. The variable step size strategy is derived by applying the instantaneous augmented weight vector and the estimated signal power. Moreover, the convergence of the proposed algorithm is analyzed. Finally, simulation results show the superiority of the VSS-GDTLS algorithm than GDTLS and the other adaptive algorithms.
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Citations
Low Complexity Error-Censoring RLS Algorithm for DOA Estimation
TL;DR: In this paper , an error-censoring recursive least squares (EC-RLS) algorithm is proposed to improve convergence while reducing computational complexity by evaluating how the sum of weighted error squares deviates from its minimal value, which can prevent unnecessary weight updating and thereby alleviate the high computational cost associated with conventional algorithms.
5
A Variable Step-Size Regularization-Based Quasi-Newton Adaptive Filter for System Identification
Mehdi Bekrani,Hadi Zayyani +1 more
TL;DR: A variable step-size regularized quasi-Newton adaptive algorithm is proposed, inspired by the matrix inversion lemma, such that during the convergence, the contribution of matrix inverse in the weight update is reduced, resulting in a more noise-robust algorithm.
3
DOA Estimation Based on Maximum Mixture Correntropy Algorithm for Impulsive and Input Noise
Wenjing Luo,Haiquan Zhao +1 more
- 17 Feb 2023
TL;DR: In this paper , a bias-compensation maximum mixture correntropy (BCMMC) is proposed, which the compensation term is derived in complex domain according to the biascompensation (BC) criterion.
Control of DFIG-SPV-BES Microgrid with CBF Prefiltred SOGI-FLL Based Synchronization
Suvom Roy,Souvik Das,Bhim Singh,Bijaya Ketan Panigrahi +3 more
- 25 Nov 2022
TL;DR: In this paper , an adaptive variable step size gradient descent total least squares (VSS-GDTLS) based power injection control is implemented for grid-side-converter during grid-tied operation.
FPGA Implementation of Variable Step Power Inversion Array for BeiDou Receiver
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TL;DR: A novel variable step power inversion (PI) that involves just one adaptive parameter that can converge within 10 iterations, effectively suppressing individual interference below −300dB and affirming anti-jamming capabilities.
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