Performance analysis of natural frequency‐based multiple radar target recognition for multiple‐input–multiple‐output radar application

2014 ◽  
Vol 8 (5) ◽  
pp. 457-464 ◽  
Author(s):  
Joon‐Ho Lee ◽  
So‐Hee Jeong ◽  
Gun‐Su Park ◽  
Young‐Chul Lee ◽  
Sung‐Woo Cho
Keyword(s):  
Performance Analysis ◽  
Natural Frequency ◽  
Target Recognition ◽  
Multiple Input Multiple Output ◽  
Radar Target ◽  
Radar Target Recognition ◽  
Multiple Input ◽  
Input Multiple Output

MIMO Radar Target Detection Performance Analysis with Unknown Parameters

2011 ◽  
Vol 403-408 ◽  
pp. 182-186
Author(s):  
Wei Wei Liu ◽  
Ning Cao ◽  
Hao Lu ◽  
Ju Rong Hu
Keyword(s):  
Performance Analysis ◽  
Multiple Input Multiple Output ◽  
Likelihood Estimation ◽  
Mimo Radar ◽  
Low Rank ◽  
Radar Target ◽  
Signal Power ◽  
Unknown Parameters ◽  
Multiple Input ◽  
Input Multiple Output

Motivated by the development of Multiple-Input Multiple-Output (MIMO) communication, MIMO radar has drawn considerable attention. While, to design of MIMO radar detector, transmitting signal power and noise are usually assumed known in advance, but in practice we may need to estimate the transmitting signal power and noise first. In this paper, we introduce MIMO radar target performance analysis with unknown parameters. First transmitting signal energy is estimated by Maximum likelihood Estimation(MLE) when multipath satisfy special diversity condition and multipath has low rank. Then the detector in the Neyman-Pearson is developed and analyzed with estimated parameters. The simulation results show that the performance with unknown parameters is approximate to the detector with known parameters. The method proposed in this paper can be used to design the MIMO radar detectors with unknown parameters.

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