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

Hongyan Wang

doi:10.1117/1.JRS.11.025013

22 June 2017 Multi-input multioutput orthogonal frequency division multiplexing radar waveform design for improving the detection performance of space-time adaptive processing

Hongyan Wang

Author Affiliations +

Funded by: Natural Science Foundation of China, China Postdoctoral Science Foundation, China Postdoctoral Science Foundation Funded Project

Journal of Applied Remote Sensing, Vol. 11, Issue 2, 025013 (June 2017). https://doi.org/10.1117/1.JRS.11.025013

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.

Citation Download Citation

Hongyan Wang "Multi-input multioutput orthogonal frequency division multiplexing radar waveform design for improving the detection performance of space-time adaptive processing," Journal of Applied Remote Sensing 11(2), 025013 (22 June 2017). https://doi.org/10.1117/1.JRS.11.025013

Received: 27 December 2016; Accepted: 2 June 2017; Published: 22 June 2017

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