一种时域降维多帧处理的Radon域弱目标检测

doi:10.3969/j.issn.1001-2400.2017.02.003

Abstract

Abstract:

Low-altitude slow-moving weak target detection in the heavy clutter is a challenging problem for low resolution radar. This paper proposes a time-dimension reduced multiple frame detection algorithm in the Radon domain to solve it. In our framework, adaptive moving target indication (AMTI) and the order statistic constant false alarm rate filter (OS-CFAR) are utilized to suppress the clutter primarily. After resampling and smoothing the combined time-range profiles in the time direction, the Radon transform is applied to this set of new time-range profiles. Then target detection is converted into a problem of feature extraction in the Radon domain, and the moving target can be figured out by two thresholds from the clutter in the parameter domain. Since the differences of skewing angles between the slow-moving targets and clutter in the Radon domain are amplified by time-dimension reduction operator, we can both detect the target and estimate its velocity. Real data demonstrate the effectiveness of the proposed algorithm.

Key words: radar, weak target detection, multiple frame detection, Radon transform

CHEN Hongmeng;LI Ming;LU Yunlong;WANG Zeyu;LI Gangfei;ZUO Lei;ZHANG Peng. Novel weak target detection technique based on time-dimension reduced multiple frame detection in the Radon domain[J].Journal of Xidian University, 2017, 44(2): 14-19.

References

［1］ DAVEY S J, RUTTEN M G, CHEUNG B. A Comparison of Detection Performance for Several Track-before-detect Algorithms ［C］//Proceedings of the 11th International Conference on Information Fusion, Piscataway: IEEE, 2008: 428036.
［2］ BUZZI S, LOPS M, VENTURINO L, et al. Track-before-detect Procedures in a Multi-target Environment ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2008, 44(3): 1135-1150.
［3］ REED I S, GAGLIARDI R M, SHAO H M. Application of Three Dimensional Filtering to Moving Target Detection ［J］. IEEE Transactions on Aerospace and Electronic Systems, 1983, 19(6): 898-905.
［4］何嘉懿, 廖桂生, 杨志伟, 等. 一种参数化轨迹增强的TBD算法［J］. 西安电子科技大学学报, 2015, 42(6): 17-22.
HE Jiayi, LIAO Guisheng,YANG Zhiwei, et al. Efficient Track-before-detect Algorithm Based on Parameterized Track Enhancement［J］. Journal of Xidian University, 2015, 42(6): 17-22.
［5］ GROSSI E, LOPS M, VENTURINO L. A Novel Dynamic Programming Algorithm for Track-before-detect in Radar Systems ［J］. IEEE Transactions on Signal Processing, 2013, 61(10): 2608-2619.
［6］李翠芸, 李宁, 姬红兵. 多伯努利滤波的快速红外弱小目标检测与跟踪［J］. 西安电子科技大学学报, 2016, 43(4): 76-85.
LI Cuiyun,LI Ning,JI Hongbing. Fast IR Dim Small Targets Detection and Tracking Based on Multi-Bernoulli Filter［J］. Journal of Xidian University, 2016, 43(4): 76-85.
［7］ MOYER L R, SPAK J, LAMANNA P. A Multi-dimensional Hough Transform-based Track-before-detect Technique for Detecting Weak Targets in Strong Clutter Backgrounds ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(4): 3062-3068.
［8］左磊, 李明, 张晓伟, 等. 基于改进Hough变换的海面微弱目标检测［J］. 电子与信息学报, 2012, 34(4): 923-928.
ZUO Lei, LI Ming, ZHANG Xiaowei, et al. Small-target Detection in Sea Clutter Based on Improved Hough Transform ［J］. Journal of Electronics ＆ Information Technology, 2012, 34(4): 923-928.
［9］ LU J, SHUI P L, SU H T. Track-before-detect Method Based on Cost-reference Particle Filter in Non-linear Dynamic Systems with Unknown Statistics［J］. IET Signal Processing, 2014, 8(1): 85-94.
［10］ CARRETERO-MOYA J, GISMERO-MENOYO J, ASENSIO-LOPEZ A, et al. Application of the Radon Transform to Detect Small Targets in Sea Clutter ［J］. IET Radar, Sonar ＆ Navigation, 2009, 3(2):155-166.
［11］ FAN Y F, LUO F, LI M, et al. Fractal Properties of Autoregressive Spectrum and Its Application on Weak Target Detection ［J］. IET Radar, Sonar ＆ Navigation, 2015, 9(8):1070-1077.
［12］ CHEN X L, GUAN J, BAO Z H, et al. Detection and Extraction of Target with Micromotion in Spiky Sea Clutter via Short-time Fractional Fourier Transform ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2): 1002-1018.
［13］ ROHLING H. Radar CFAR Thresholding in Clutter and Multiple Target Situations ［J］. IEEE Transactions on Aerospace and Electronic Systems, 1983, 19(4): 608-621.
［14］ SKOLNIK M I. Radar Handbook ［M］. Third Edition. New York: McGraw-Hill, 2008.
［15］ XU X, WEI X H, YE Z F. DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted L1-norm Penalty ［J］. IEEE Signal Processing Letters, 2012, 19(3): 155-158.
［16］ ZHANG X P, LIAO G S, ZHU S Q, et al. Geometry-information-aided Efficient Motion Parameter Estimation for Moving-target Imaging and Location ［J］. IEEE Geoscience and Remote Sensing Letters, 2015, 12 (1): 155-159.

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Novel weak target detection technique based on time-dimension reduced multiple frame detection in the Radon domain

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