FDA-based maneuvering target detection with Doppler-spread consideration

被引:0
|
作者
Jia, Mingjie [1 ]
Huang, Bang [1 ]
Basit, Abdul [2 ]
Wang, Wen-Qin [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Int Islamic Univ, Dept Elect Engn, Islamabad, Pakistan
关键词
Frequency diverse array (FDA) radar; Maneuvering target detection; Doppler-spread; Resampling-keystone transform; Coherent integration; MIMO RADAR; FOURIER TRANSFORM; SUPPRESSION; CLUTTER;
D O I
10.1016/j.dsp.2025.104990
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Different from conventional phased array (PA) and multiple-input-multiple-output (MIMO) radars, frequency diverse array (FDA) experiences the additional Doppler-spread and Doppler walk phenomena caused by the coupling among frequency increment, velocity, and acceleration. In this paper, we thoroughly investigate the coherent integration issue for detecting an FDA-based maneuvering target, consisting of range migration, Doppler-spread and Doppler walk phenomena. To address these challenges, the paper presents a novel algorithm. Specifically, we first introduce a new pulse sampling interval into the FDA-based signals to propose the resampling-keystone transform (RKT) stage, which effectively correct range migration and Doppler-spread. After the inter-channel compensation and integration of the resampled signals, the Lv's distribution (LVD) stage is applied to achieve the intra-channel coherent integration of target energy. The proposed algorithm is applicable for both single-target and multi-target scenarios. Finally, several simulation results demonstrate the potential of the proposed algorithm for improved detection performance for FDA radar. Additionally, the results indicate the underlying limitations of frequency increment and acceleration, which is caused by the coupling among frequency increment, acceleration, and quadratic slow time.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Target detection in abruptly non-stationary Doppler-spread clutter
    Ramakrishnan, Dinesh
    Krolik, Jeffrey
    2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, : 2636 - 2639
  • [2] Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order Statistics
    Bu, Linsheng
    Fu, Tuo
    Chen, Defeng
    Cao, Huawei
    Zhang, Shuo
    Han, Jialiang
    REMOTE SENSING, 2024, 16 (18)
  • [3] Enhanced Detection of Doppler-Spread Targets for FMCW Radar
    Zhang, Wei
    Li, Huiyong
    Sun, Guohao
    He, Zishu
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2019, 55 (04) : 2066 - 2078
  • [4] FDA-MIMO Radar Moving Target Detection Based on Doppler Spread Compensation
    Zhang S.
    Liu M.
    Wang W.
    Journal of Radars, 2022, 11 (04) : 666 - 675
  • [5] Doppler-Spread Targets Detection for FMCW Radar Using Concurrent RDMs
    Ye, Yishan
    Deng, Zhenmiao
    Pan, Pingping
    Ma, Weijie
    Huang, Xiaohong
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (11) : 11454 - 11464
  • [6] Doppler-Spread Target Summation Variability Index CFAR Detector for FMCW Radar
    Zhao, Zongmin
    Wang, Hao
    Cao, Lin
    Wang, Dongfeng
    Fu, Chong
    IEEE SENSORS JOURNAL, 2024, 24 (20) : 32519 - 32532
  • [7] Analysis of OFDM ICI based on output Doppler-spread function
    Chen, Xia
    Tan, Zhen-Hui
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2004, 32 (04): : 665 - 668
  • [8] Maneuvering Target Detection for FDA Radar in the Presence of DFTJ
    Huang, Libing
    Zhang, Shunsheng
    Xiao, Siyao
    Ding, Junsong
    Miao, Linghui
    Wang, Wen-Qin
    IEEE SENSORS JOURNAL, 2024, 24 (19) : 30386 - 30398
  • [9] FDA radar with doppler-spreading consideration: Mainlobe clutter suppression for blind-doppler target detection
    Gui, Ronghua
    Wang, Wen-Qin
    Farina, Alfonso
    So, Hing Cheung
    SIGNAL PROCESSING, 2021, 179
  • [10] APES Based STAP for Target Detection in Spread-Doppler Clutter
    Tong, Peng
    Wei, Yinsheng
    Xu, Rongqing
    PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016), 2016, : 1620 - 1623