Image and Signal Processing Methods

Multi-input multioutput orthogonal frequency division multiplexing radar waveform design for improving the detection performance of space-time adaptive processing

[+] Author Affiliations
Hongyan Wang

Dalian University, College of Information Engineering, Dalian, China

J. Appl. Remote Sens. 11(2), 025013 (Jun 22, 2017). doi:10.1117/1.JRS.11.025013
History: Received December 27, 2016; Accepted June 2, 2017
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Abstract.  This paper addresses the waveform optimization problem for improving the detection performance of multi-input multioutput (MIMO) orthogonal frequency division multiplexing (OFDM) radar-based space-time adaptive processing (STAP) in the complex environment. By maximizing the output signal-to-interference-and-noise-ratio (SINR) criterion, the waveform optimization problem for improving the detection performance of STAP, which is subjected to the constant modulus constraint, is derived. To tackle the resultant nonlinear and complicated optimization issue, a diagonal loading-based method is proposed to reformulate the issue as a semidefinite programming one; thereby, this problem can be solved very efficiently. In what follows, the optimized waveform can be obtained to maximize the output SINR of MIMO-OFDM such that the detection performance of STAP can be improved. The simulation results show that the proposed method can improve the output SINR detection performance considerably as compared with that of uncorrelated waveforms and the existing MIMO-based STAP method.

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Citation

Hongyan Wang
"Multi-input multioutput orthogonal frequency division multiplexing radar waveform design for improving the detection performance of space-time adaptive processing", J. Appl. Remote Sens. 11(2), 025013 (Jun 22, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.025013


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