Multi‐mode clutter suppression of multiple‐input–multiple‐output over‐the‐horizon radar based on blind source separation

2015 ◽  
Vol 9 (8) ◽  
pp. 956-966 ◽  
Author(s):  
Daoxiang Dou ◽  
Mao Li ◽  
Zishu He
Keyword(s):  
Blind Source Separation ◽  
Source Separation ◽  
Multiple Input Multiple Output ◽  
Clutter Suppression ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Multi Mode

scholarly journals Decoupling of Broadband Optical MIMO Systems Using the Multiple Shift SBR2 Algorithm

2017 ◽  
Vol 6 (1) ◽  
pp. 30
Author(s):  
Zeliang Wang ◽  
André Sandmann ◽  
John G. McWhirter ◽  
Andreas Ahrens
Keyword(s):  
Bit Error Rate ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Singular Value ◽  
Mimo Channel ◽  
Multiple Input ◽  
Channel Interference ◽  
Input Multiple Output ◽  
Value Decomposition ◽  
Multi Mode

Polynomial singular value decomposition (PSVD) plays a very important role in broadband multiple-input multiple-output (MIMO) systems. One of its applications lies in the decoupling of MIMO convolutive mixing channel matrixin order to recover the transmitted signals corrupted by the channel interference (CI) at the receiver. In this paper, a novel algorithm, known as multiple shift second order sequential best rotation (MS-SBR2), is proposed to compute the approximate PSVD of the broadband MIMO channel matrix. Experimental examples, including a measured (2 × 2) optical MIMO channel impulse response using the multi-mode fiber (MMF) testbed, are presented to examine the proposed algorithm. Bit error rate (BER) performances are evaluated among different transmission schemes. In addition, power allocation (PA) schemes are investigated to further optimize the BER performance.

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