基于MDCFT与水平集的高海情弹载雷达成像检测方法

doi:10.12305/j.issn.1001-506X.2024.04.13

Abstract

Abstract:

In order to improve the performance of missile-borne radar constrained by ship three-dimensional oscillation and sea spikes under high sea state. A feasible imaging and detection idea is proposed. First of all, the echo model of ship and sea clutter under high sea state is established. Secondly, a modified discrete chirp Fourier transform (MDCFT) algorithm is applied for the Doppler imaging to eliminate the range Doppler (RD) image defocus caused by the high-order phase of echo. After that, the level set algorithm is used to detect the target area of the image and avoid the parameter setting steps in the constant false alarm rate (CFAR) algorithm, and the clustering algorithm is used to obtain the region of each target. Finally, the target features are extracted and used to determine whether the target is a ship. The effectiveness of the algorithm is verified by the experimental results of simulation data. This method takes into account the improvement in both imaging and detection steps, and provides a feasible idea for the guidance of missile-borne radar under high sea state.

Key words: high sea state, target detection, level set, modified discrete chirp Fourier transform

CLC Number:

TN95

Li ZHOU, Jiemin HU, Lianqing FU, Sanli LING. Imaging and detection under high sea state based on MDCFT and level set[J]. Systems Engineering and Electronics, 2024, 46(4): 1247-1254.

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References 17

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雷达参数	取值
载频/GHz	5.2
PRF/Hz	1 000
带宽/MHz	80

目标旋转参数	X轴	Y轴	Z轴
常数项/(rad/s)	0.05	0.2	0.06
线性项/(rad/s²)	0.06	0.1	0.05
二次项/(rad/s³)	0.04	0.4	0.06

特征	目标1	目标2	目标3	目标4	目标5	目标6
径向长度/m	93.750	18.750	1.875	16.875	15.000	13.125
多普勒展宽/像素	66	43	12	21	21	24

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Imaging and detection under high sea state based on MDCFT and level set

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