Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (5): 886-896.doi: 10.21629/JSEE.2019.05.07

• Defence Electronics Technology • Previous Articles     Next Articles

Multi-dimensional ambiguity function for subarray-based space-time coding radar

Lan LAN(), Guisheng LIAO(), Jingwei XU*(), Hanbing WANG()   

  • Received:2018-03-01 Online:2019-10-08 Published:2019-10-09
  • Contact: Jingwei XU E-mail:xidian@foxmail.com;liaogs@xidian.edu.cn;xujingwei1987@163.com;hbwang_@163.com
  • About author:LAN Lan was born in 1993. She received her B.S. degree in electronic engineering from Xidian University, Xi'an, China, in 2015. She is currently working toward her Ph.D. degree in the National Laboratory of Radar Signal Processing, Xidian University. Her research interests include frequency diverse array radar systems, MIMO radar signal processing and electronic counter-countermeasures. E-mail: lanlan xidian@foxmail.com|LIAO Guisheng was born in 1963. He received his B.S. degree from Guangxi University, Guangxi, China, and M.S. and Ph.D. degrees from Xidian University, Xi'an, China, in 1985, 1990, and 1992, respectively. He is currently a professor at the National Laboratory of Radar Signal Processing, Xidian University. He has been a senior visiting scholar in the Chinese University of Hong Kong, Hong Kong. His research interests include array signal processing, spacetime adaptive processing, synthetic aperture radar (SAR) ground moving target indication, and distributed small satellite SAR system design. He is a member of the National Outstanding Person and the Cheung Kong Scholars in China. E-mail: liaogs@xidian.edu.cn|XU Jingwei was born in 1987. He received his B.S. degree in electronic and information engineering, and Ph.D. degree in signal and information processing, both from Xidian University, China, in 2010 and 2015, respectively. He is currently an associate professor in the National Laboratory of Radar Signal Processing, Xidian University. His research interests include robust adaptive beamforming, frequency diverse array radar systems, space-time adaptive processing (STAP)-based radar signal processing, and MIMO radar signal processing. E-mail: xujingwei1987@163.com|WANG Hanbing was born in 1990. He received his B.S. degree in detection guidance and control technology from Xidian University, Xi'an, China, in 2013, and M.S. degree in circuits and systems from Northwestern Polytechnical University, Xi'an, China, in 2016. He is currently working toward his Ph.D. degree in the National Laboratory of Radar Signal Processing, Xidian University. His research interests include waveform diversity and array radar signal processing. E-mail: hbwang_l0@163.com
  • Supported by:
    the National Key Research and Development Program of China(2016YFE0200400);the Key R&D Program of Shaanxi Province(2017KW-ZD-12);the Postdoctoral Science Foundation of Shaanxi Province, and the Nature Science Foundation of Shaanxi Province;This work was supported by the National Key Research and Development Program of China (2016YFE0200400), the Key R&D Program of Shaanxi Province (2017KW-ZD-12), the Postdoctoral Science Foundation of Shaanxi Province, and the Nature Science Foundation of Shaanxi Province

Abstract:

Space-time coding radar has been recently proposed and investigated. It is a radar framework which can perform transmit beamforming at the receiver. However, the range resolution decreases when the number of the transmit element increases. A subarray-based space-time coding (sub-STC) radar is explored to alleviate the range resolution reduction. For the proposed radar configuration, an identical waveform is transmitted and it introduces a small time offset in different subarrays. The multi-dimensional ambiguity function of sub-STC radar is defined by considering resolutions in multiple domains including the range, Doppler, angle and probing direction. Analyses on properties of the multi-dimensional ambiguity function of the sub-STC radar with regard to the spatial coverage, resolution performance and low sidelobes are also given. Results reveal that the range re-solution and low sidelobes performance are improved with the proposed approach.

Key words: space-time coding radar, multi-dimensional ambiguity function, range resolution, wide spatial coverage, subarray, sidelobe