Orthogonal Waveform With Multiple Diversities for MIMO Radar

doi:10.1109/JSEN.2018.2824824

	Orthogonal Waveform With Multiple Diversities for MIMO Radar
	Chang, Guanghong 1; Liu, Aijun 2; Yu, Changjun 2; Ji, Yonggang 3; Wang, Yiming 3; Zhang, Jie 3
刊名	IEEE SENSORS JOURNAL
	2018-06
卷号	18 期号:11 页码:4462-4476
关键词	Multiple-input multiple-output radar orthogonal waveform frequency diversity chirp modulation diversity many-objective optimization algorithm
ISSN号	1530-437X
DOI	10.1109/JSEN.2018.2824824
英文摘要	For multiple-inputmultiple-output radar employing the advantage of virtual array, the general assumption of the perfect orthogonality between multiple waveforms is proved to be unachievable. Therefore, to achieve good orthogonality, transmission schemes employing frequency diversity or chirp modulation diversity have been extensively investigated. Inspired by the idea of "diversity means superiority," approach which integrates multiple diversities in a single waveform might be used to improve the orthogonality. In this paper, a novel waveform named discrete frequency and chirp-rate coding waveform (DFCCW) consisting of both frequency and chirp modulation diversities is proposed. Based on the auto-and cross-ambiguity functions of the DFCCW, we prove that the proposed approach is able to decrease the cross ambiguity peak values. To generate and optimize a set of Pareto-optimal DFCCWs, a many-objective optimization algorithm named nondominated sorting genetic algorithm with differential evolution is presented. Besides, the optimal criteria considering Doppler effects ensure that the DFCCW possess good performance in presence of moving targets. Numerical results show that the DFCCW achieves better orthogonality than the waveforms that utilize only single diversity type.
资助项目	National Natural Science Foundation of China[61571159] ; National Natural Science Foundation of China[61571157] ; National Natural Science Foundation of China[61501131] ; National Natural Science Foundation of China[61671166]
WOS关键词	DISCRETE FREQUENCY ; HEIGHT DISTRIBUTIONS ; CODED SIGNAL ; DESIGN ; OPTIMIZATION ; ALGORITHM ; VOLUME ; BOUNDS
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000432017100016
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/25814]
专题	自然资源部第一海洋研究所
通讯作者	Liu, Aijun
作者单位	1.Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Heilongjiang, Peoples R China 2.Harbin Inst Technol Weihai, Sch Informat & Elect Engn, Weihai 264209, Peoples R China 3.State Ocean Adm, Lab Marine Phys & Remote Sensing, Inst Oceanog 1, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Chang, Guanghong,Liu, Aijun,Yu, Changjun,et al. Orthogonal Waveform With Multiple Diversities for MIMO Radar[J]. IEEE SENSORS JOURNAL,2018,18(11):4462-4476.
APA	Chang, Guanghong,Liu, Aijun,Yu, Changjun,Ji, Yonggang,Wang, Yiming,&Zhang, Jie.(2018).Orthogonal Waveform With Multiple Diversities for MIMO Radar.IEEE SENSORS JOURNAL,18(11),4462-4476.
MLA	Chang, Guanghong,et al."Orthogonal Waveform With Multiple Diversities for MIMO Radar".IEEE SENSORS JOURNAL 18.11(2018):4462-4476.