Low-Complexity Angle Estimation for Noncircular Signals in Bistatic MIMO Radar

2017 ◽  
Vol E100.B (6) ◽  
pp. 997-1002 ◽  
Author(s):  
Yiduo GUO ◽  
Weike FENG
Keyword(s):  
Low Complexity ◽  
Mimo Radar ◽  
Angle Estimation ◽  
Bistatic Mimo Radar ◽  
Noncircular Signals

Fast Angle Estimation Algorithm of Coherently Distributed Targets for Bistatic MIMO Radar

2011 ◽  
Vol 33 (7) ◽  
pp. 1684-1688
Author(s):  
Yi-duo Guo ◽  
Yong-shun Zhang ◽  
Lin-rang Zhang ◽  
Ning-ning Tong
Keyword(s):  
Estimation Algorithm ◽  
Mimo Radar ◽  
Angle Estimation ◽  
Bistatic Mimo Radar

An esprit-like algorithm for coherent angle estimation in bistatic MIMO radar

2015 ◽  
Author(s):  
Yali Wang Yali Wang ◽  
Zhiguo Liu Zhiguo Liu ◽  
Zhonghai Yin Zhonghai Yin ◽  
Qiang Sun Qiang Sun ◽  
Xiaolong Liang Xiaolong Liang
Keyword(s):  
Mimo Radar ◽  
Angle Estimation ◽  
Bistatic Mimo Radar

scholarly journals Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jurong Hu ◽  
Evans Baidoo ◽  
Lei Zhan ◽  
Ying Tian
Keyword(s):  
Matching Pursuit ◽  
Phase Error ◽  
Mimo Radar ◽  
Descent Method ◽  
Gradient Descent Method ◽  
Computationally Efficient ◽  
Angle Estimation ◽  
Bistatic Mimo Radar ◽  
Phase Errors ◽  
Sparse Signal Representation

In this paper, a robust angle estimator for uncorrelated targets that employs a compressed sense (CS) scheme following a fast greedy (FG) computation is proposed to achieve improved computational efficiency and performance for the bistatic MIMO radar with unknown gain-phase errors. The algorithm initially avoids the wholly computation of the received signal by compiling a lower approximation through a greedy Nyström approach. Then, the approximated signal is transformed into a sparse signal representation where the sparsity of the target is exploited in the spatial domain. Finally, a CS method, Simultaneous Orthogonal Matching Pursuit with an inherent gradient descent method, is utilized to reconstruct the signal and estimate the angles and the unknown gain-phase errors. The proposed algorithm, aside achieving closed-form resolution for automatically paired angle estimation, offers attractive computational competitiveness, specifically in large array scenarios. Additionally, the analyses of the computational complexity and the Cramér–Rao bounds for angle estimation are derived theoretically. Numerical experiments demonstrate the improvement and effectiveness of the proposed method against existing methods.

A New Central Angle Estimation Method of Bistatic MIMO Radar

2013 ◽  
Vol 846-847 ◽  
pp. 1197-1200
Author(s):  
Jian Gong ◽  
Yi Duo Guo ◽  
Hui Xie ◽  
Zhi Long Li
Keyword(s):  
Angular Distribution ◽  
Hadamard Product ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Mimo Radar ◽  
Distribution Functions ◽  
Central Angle ◽  
Angle Estimation ◽  
Bistatic Mimo Radar ◽  
Simulation Results

Based on the theory that the steering vectors of coherently distributed targets for bistatic MIMO radar possess a property called Hadamard product rotational invariance (HPRI), a novel central angle estimation algorithm is derived. The proposed algorithm has the advantage of no searching and easily pair the estimated angles. Furthermore, it can deal with different coherently distributed targets with different angular distribution functions or unknown angular distribution functions. Simulation results show the proposed method is effective.

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