ISAR成像系统的二维资源自适应调度算法

doi:10.3969/j.issn.1001-506X.2020.02.12

Abstract

Abstract:

The resource scheduling strategy of the existing cognitive radar imaging system only performs resource scheduling from one dimension that distance (waveform design) or azimuth, which doesn't adequately allocate and utilize radar system resources. Therefore, a two-dimensional resource adaptive scheduling algorithm is proposed for the stepped frequency inverse synthetic aperture radar imaging system to improve the efficiency of the radar system. Based on the recognition of target's features and according to the principle of compressed sensing, the proposed algorithm calculates the pulse resources required for two-dimensional sparse imaging of targets. Then, according to the two-dimensional resource scheduling model, the two-dimensional pulse resources are adaptively allocated to realize the alternate observation of the target. Two-dimensional image of target is obtained by the sparse imaging algorithm. Finally, the feasibility of the algorithm is verified by simulation, and more imaging tasks can be performed compared with the traditional algorithm in the case of resource saturation.

Key words: step frequency, inverse synthetic aperture radar, compressive sensing, resource scheduling, cognitive imaging

CLC Number:

V243.2

Yi DU, Kefei LIAO, YANG Shan OU, Yijun CHEN. Two-dimensional resource adaptive scheduling algorithm for ISAR imaging system[J]. Systems Engineering and Electronics, 2020, 42(2): 339-345.

Figures/Tables 9

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References 20

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参数	目标1	目标2	目标3	目标4
距离R/km	7	9	11	8
速度V/(m/s)	550	450	600	400
航向θ/(°)	0	10	-15	0
高度H/km	0.5	0.7	0.9	0.8
尺寸S/m²	517	560	644	506
S_x/m	24	20	28	23

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Two-dimensional resource adaptive scheduling algorithm for ISAR imaging system

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参数	目标1	目标2	目标3	目标4
${{\hat S}_{yj}}$/m	21	28	23	21
${{\hat S}_{xj}}$ /m	25	21	27	24
步长Δ f_j /MHz	6	5	5	6
稀疏度${{\hat K}_j}$	27	24	36	31
脉冲串M_j	91	90	122	143
稀疏脉冲串L_j	60	53	85	76
稀疏度${{K'}_j}$	20	16	21	22
子脉冲N_j	50	62	51	50
稀疏子脉冲Z_j	39	38	40	42
威胁度S_j	0.762 1	0.803 9	0.262 5	0.574 7