Axis rotation MTD algorithm for weak target detection

Authors:
Xuan Rao;Haihong Tao;Jia Su;Xiaolu Guo;Jinze Zhang
Affiliations:
National Laboratory of Radar Signal Processing, Xidian University, Xian, 710071, China and School of Information Engineering, Nanchang Hangkong University, Nanchang, 330063, China;National Laboratory of Radar Signal Processing, Xidian University, Xian, 710071, China;National Laboratory of Radar Signal Processing, Xidian University, Xian, 710071, China;National Laboratory of Radar Signal Processing, Xidian University, Xian, 710071, China;National Laboratory of Radar Signal Processing, Xidian University, Xian, 710071, China
Venue:
Digital Signal Processing
Year:
2014

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Abstract

Weak target@?s range migration often happens for long time integration in radar detection. To compensate for linear range migration and detect weak targets effectively, a novel coherent integration detection algorithm, axis rotation moving target detection (AR-MTD), is proposed. The AR-MTD eliminates the linear range migration by rotating two-dimensional echoes data plane, and realizes coherent integration via moving target detection (MTD). As the target@?s resident time in a single range cell increases, the integration gain is improved clearly. Numerical experiments are presented to verify the reduction in the computational complexity of AR-MTD by selecting the velocity variation regions. Also, it is shown that the detection probability of AR-MTD is improved by nearly 20% when input signal-to-noise ratio (SNR) is -40 dB.