MIMO radar signal separation algorithm in non-Gaussian clutter

2011 ◽  
Author(s):  
Xun Feng ◽  
Shou-yong Wang ◽  
Jun Yang ◽  
Peng-fei Du ◽  
Xiao-bo Zhu
Keyword(s):  
Mimo Radar ◽  
Signal Separation ◽  
Radar Signal ◽  
Separation Algorithm ◽  
Non Gaussian

The Signal Separation for MIMO Radar Based on Particle Filter Algorithm

2014 ◽  
Vol 536-537 ◽  
pp. 34-38
Author(s):  
Yan Ping Zhu ◽  
Ke Tang ◽  
Jia Qiang Li ◽  
Jin Li Chen
Keyword(s):  
Particle Filter ◽  
Mimo Radar ◽  
Radar System ◽  
Signal Separation ◽  
Separation Performance ◽  
Good Separation ◽  
Match Filter ◽  
Chaotic Signals ◽  
Particle Filter Algorithm ◽  
Non Gaussian

The orthogonality of transmitting signals affects the performance of Muitple Input Mulitiple Output (MIMO) radar system. The chaotic signals was adopted at the transmitter to achieve the approximate orthogonal. A signal separation aprroach for MIMO Radar based on the particle filter in Non-Gaussian clutter environment was proposed. Before the match filter (MF), the particle filter is quite suitable for chaotic signals separation. Simulation results show that the proposed algorithm can realize a good separation performance. At the receiver, the coherent processing results show that this method has the better target resolution ability than the tranditional match filter alone.

Algorithm of Adaptive Online Blind Signal Separation Based on Matrix Separation

2013 ◽  
Vol 380-384 ◽  
pp. 3978-3981
Author(s):  
Dong Hui Xu ◽  
Hong Guang Ma ◽  
Wen Pu Guo ◽  
Dong Dong Yang
Keyword(s):  
Step Length ◽  
Signal Separation ◽  
Gradient Algorithm ◽  
Radar Signal ◽  
Blind Signal Separation ◽  
Natural Gradient ◽  
Separation Algorithm ◽  
Blind Signal ◽  
On Line ◽  
Adaptive Step

For the studied the over-determined blind source separation algorithm and its application in radar signal sorting. The reason that natural gradient algorithm of over-determined BSS can not stably converge eventually is analyzed. Aimed at the problem that the exiting methods are analyzed and researched. On-line BSS algorithm with adaptive step length based on separating matrix is presented to implement the optimum combination between the convergence speed and the steady-state error. At the same time, the algorithm can achieve a better separating result when the signal is randomly reduced or increased. The simulation result verifies the convergence stability and the separating effectivity of the two improved algorithms.

Underdetermined Blind Radar Signal Separation Based on ICA

2010 ◽  
Vol 32 (4) ◽  
pp. 919-924 ◽  
Author(s):  
Xiao-jun Chen ◽  
Hao Cheng ◽  
Bin Tang
Keyword(s):  
Signal Separation ◽  
Radar Signal

Modulation recognition of MIMO radar signal based on joint HOS and SNR algorithm

2014 ◽  
Vol 25 (2) ◽  
pp. 226-236 ◽  
Author(s):  
Xiaojing Wang ◽  
Ying Xiong ◽  
Yunhao Li ◽  
Bin Tang
Keyword(s):  
Mimo Radar ◽  
Radar Signal ◽  
Modulation Recognition
Sign in / Sign up

Export Citation Format

Share Document