基于脈沖壓縮的距離超分辨技術
RANGE SUPER-RESOLUTION BASED ON PULSE COMPRESSION
-
摘要: 利用高分辨陣列處理算法實現(xiàn)重疊回波時延超分辨是擴展雷達距離分辨率的有效方法,而降低這類算法適用的信噪比(SNR)門限是其能否實用的關鍵。本文針對大時寬帶寬積(TB)信號壓縮后能量集中,峰值SNR提高的特點,提出了一種低SNR下大TB信號距離超分辨新方法.即利用脈壓和旁瓣抑制技術對大TB信號進行預處理,結(jié)合噪聲的預白化,對截取的脈壓輸出主瓣進行超分辨處理。計算機模擬表明該方法可以在低SNR下實現(xiàn)多目標的距離超分辨估計,并大大降低數(shù)據(jù)存儲量和計算量.Abstract: Estimating the arrival time of overlapping echoes by high resolution array processinh algorithms can efficiently expand the ability of target resolution in radar.Lowering the SNR trhreshold at which the algorithms take effect has particularly been an area of focus for practical applications.In this paper a novel method based on pulse comprression for range super-resolution is presented.The proposed method,especially suitable to large time-bandwidth product (TB) signals,can be applied at very low SNR and greatly reduce the computational load in comparison with the known approaches.
-
林茂庸,柯有安.雷達信號理論.北京:國防工業(yè)出版社,1984, 115-151.[2]Krim H, Viberg M. Two decades of array signal processing research. IEEE SP Mag., 1996, 13(4): 67-94.[3]Gabriel W F. Superresolution techniques and ISAR imaging. IEEE National Radar Conf., Dallas, Texas: 1989, 48-55.[4]Bruckstein A M, et al. The resolution of overlapping echoes. IEEE Trans. on ASSP, 1985, ASSP-33(6): 1357-1367.[5]Gabriel W F. Superresolution techniques in range domain. IEEE Int. Radar Conf., Arlington, Virginia: 1990, 263-267.[6]Gabriel W F. Improved range superresolution via bandwidth extrapolation. IEEE National Radar Conf., Lynnfield, Massachusetts: 1993, 123-127.[7]Bresler Y, Delancy A H. Resolution of overlapping echoes of unknown shape. IEEE Proc. of ICASSP, Glasgow, Scotland: 1989, 2657-2660.[8]Zhu Z D, et al. Super-resolution range-Doppler imaging. IEE Proc.-F, 1995, 142(1): 25-32. -
計量
- 文章訪問數(shù): 2176
- HTML全文瀏覽量: 136
- PDF下載量: 409
- 被引次數(shù): 0
下載:
