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

doi:10.21629/JSEE.2019.05.07

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

收稿日期:2018-03-01 出版日期:2019-10-08 发布日期:2019-10-09

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

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

National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China

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

摘要/Abstract

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

. [J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 886-896.

Lan LAN, Guisheng LIAO, Jingwei XU, Hanbing WANG. Multi-dimensional ambiguity function for subarray-based space-time coding radar[J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 886-896.

图/表 8

参考文献 29

1	TANG B, LI J. Spectrally constrained MIMO radar waveform design based on mutual information. IEEE Trans. on Signal Processing, 2019, 67 (3): 821- 834.
2	ZHANG Z Y, ZHANG J Y. Tracking multiple target in MIMO radar via adaptive asymmetric joint diagonalization with deflation. Journal of Systems Engineering and Electronics, 2018, 29 (4): 731- 741.
3	CHENG Z Y, HE Z S, ZHANG S M, et al. Constant modulus waveform design for MIMO radar transmit beampattern. IEEE Trans. on Signal Processing, 2017, 65 (18): 4912- 4923. doi: 10.1109/TSP.2017.2718976
4	CUI G L, LI H B, RANGASWAMY M. MIMO radar waveform design with constant modulus and similarity constraints. IEEE Trans. on Signal Processing, 2014, 62 (2): 343- 353.
5	HE H, STOICA P, LI J. Designing unimodular sequence sets with good correlations-including an application to MIMO radar. IEEE Trans. on Signal Processing, 2009, 57 (11): 4391- 4405. doi: 10.1109/TSP.2009.2025108
6	AKÇAKAYA M, NEHORAI A. MIMO radar sensitivity analysis for target detection. IEEE Trans. on Signal Processing, 2011, 59 (7): 3241- 3250. doi: 10.1109/TSP.2011.2141665
7	DAUM F, HUANG J. MIMO radar:snake oil or good idea. IEEE Trans. on Aerospace Electronic System Magazines, 2009, 24 (5): 8- 12. doi: 10.1109/MAES.2009.5109947
8	CHEVALIER F L. Space-time transmission and coding for airborne radars. Radar Science and Technology, 2008, 6 (6): 411- 421.
9	BABUR G, AUBRY P, CHEVALIER F L. Space-time codes for active antenna systems:comparative performance analysis. Proc. of the IET International Radar Conference, 2013, 1- 6.
10	FAUCON T, PINAUD G, CHEVALIER F L. Mismatched filtering for circulating space-time codes. Proc. of the IET International Radar Conference, 2015, 1- 7.
11	BABUR G, AUBRY P, CHEVALIER F L. Simple transmit diversity technique for phased array radar. IET Radar Sonar&Navigation, 2016, 10 (6): 1046- 1056.
12	ROUSSEL K, BABUR G, CHEVALIER F L. Optimization of low sidelobes radar waveforms:circulating codes. Proc. of the International Radar Conference, 2014, 1- 6.
13	BABUR G, AUBRY P, CHEVALIER F L. Antenna coupling effects for space-time radar waveforms:analysis and calibration. IEEE Trans. on Antennas and Propagation, 2014, 62 (5): 2572- 2586. doi: 10.1109/TAP.2014.2309111
14	WOODWARD P M. Probability and information theory with applications to radar. Whitstable, UK: McGraw-Hill, 1953.
15	MBROOKNER E. Multidimensional ambiguity function of linear, interferometer, antenna arrays. IEEE Trans. on Antennas and Propagation, 1964, 12(5): 551-561.
16	BHATTA A, MISHRA A K. Ambiguity function and CramerRao lower bound calculation for CommSense system. IEEE Trans. on Aerospace and Electronic Systems, 2018, 54 (4): 2067- 2074. doi: 10.1109/TAES.2018.2803584
17	LI H, QIN Y L, LI Y P, et al. Parameter estimation of intrapulse modulation for poly-phase coded pulse based on AF. Systems Engineering and Electronics, 2010, 32 (9): 1823- 1827.
18	ANTONIO G S, FUHRMANN D R, ROBEY F C. MIMO radar ambiguity functions. IEEE Journal of Selected Topics in Signal Processing, 2007, 1 (1): 167- 177. doi: 10.1109/JSTSP.2007.897058
19	YANG M L, CHEN B X, QI F L, et al. Ambiguity function of multiple-carrier frequency MIMO radar. Systems Engineering and Electronics, 2009, 31 (1): 5- 8.
20	KHAN W, QURESHI I M, SULTAN K. Ambiguity function of phased-MIMO radar with colocated antennas and its properties. IEEE Trans. on Geoscience and Remote Sensing Letters, 2014, 11 (7): 1220- 1224. doi: 10.1109/LGRS.2013.2290010
21	WANG W Q, DAI M, ZHENG Z. FDA radar ambiguity function characteristics analysis and optimization. IEEE Trans. on Aerospace and Electronic Systems, 2018, 54 (3): 1368- 1380. doi: 10.1109/TAES.2017.2785598
22	DESODT G, MICHEL G E, GUYVARCH J P, et al. Multibursts space-time coding for active antenna systems. Proc. of the IEEE International Radar Conference, 2014, 1- 6.
23	WEN C, TAO M L, PENG J Y, et al. Clutter suppression for airborne FDA-MIMO radar using multi-waveform adaptive processing and auxiliary channel STAP. Signal Processing, 2019, 154, 280- 293. doi: 10.1016/j.sigpro.2018.09.016
24	WANG W Q, DAI M M, ZHENG Z. FDA radar ambiguity function characteristics analysis and optimization multiwaveform adaptive processing and auxiliary channel STAP. Signal Processing, 2019, 154, 280- 293. doi: 10.1016/j.sigpro.2018.09.016
25	WANG W Q. Overview of frequency diverse array in radar and navigation applications. IET Radar, Sonar&Navigation, 2016, 10 (6): 1001- 1012.
26	HARRIS F J. On the use of windows for harmonic analysis with the discrete Fourier transform. Proceedings of the IEEE, 1978, 66 (1): 172- 204.
27	ZENG G Q, LI S Y, ZHANG Y, et al. Low side lobe pattern synthesis using projection method with genetic algorithm for truncated cone conformal phased arrays. Journal of Systems Engineering and Electronics, 2014, 25 (4): 554- 559. doi: 10.1109/JSEE.2014.00064
28	OMAR O K, DEBBAT F, STAMBOULI A B. Null steering beamforming using hybrid algorithm based on honey bees mating optimization and tabu search in adaptive antenna array. Progress in Electromagnetics Research C, 2012, 32, 65- 80. doi: 10.2528/PIERC12060707
29	BEVELACQUA P J, BALANIS C A. Geometry and weight optimization for minimizing sidelobes in wideband planar arrays. IEEE Trans. on Antennas and Propagation, 2009, 57 (4): 1285- 1289. doi: 10.1109/TAP.2009.2015853

Parameter	Value
Element number $M$	16
Subarray number $K$	4
Carrier frequency $f_0$/GHz	1
Wavelength $\lambda$/m	0.3
Bandwidth $B$/MHz	20
Pulse repetition frequency/kHz	20
Time shift $\Delta t$/${\rm{\mu }}$s	0.05
Sampling frequency/MHz	100
BT product	200

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

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