Resolution Enhancement Method for Bistatic ISAR One-dimensional Range Profile Under Low SNR
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摘要: 针对双基地角使双基地ISAR(B-ISAR) 1维距离成像分辨率下降的问题，该文提出基于多量测向量(MMV)模型的复数近似消息传递(MCAMP)的B-ISAR 1维距离成像分辨率增强算法。首先，建立距离联合稀疏模型。然后，通过向量化处理将联合稀疏问题转换为块稀疏复数基追踪去噪问题，利用Kronecker积提出MCAMP算法进行求解，以得到不受双基地角影响的1维距离像。最后，通过快速傅里叶变换(FFT)代替矩阵与矩阵相乘进一步减少了计算复杂度，进而提高了算法的实现效率。仿真成像结果验证了所提方法在重构精度和重构时间方面的优势。
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关键词:
- 双基地逆合成孔径雷达 /
- 高分辨距离像 /
- 复数近似消息传递 /
- 压缩感知
Abstract: To solve the problem of declined resolution of Bistatic Inverse Synthetic Aperture Radar (B-ISAR) imaging by bistatic angle, a B-ISAR range profile resolution enhancement algorithm is put forward based on Multiple Measurement Vector (MMV) Complex Approximate Message Passing (MCAMP). The range joint sparse model is established. By utilizing vectorization operation, the joint sparse problem is converted into a block complex basis pursuit denoising problem. To achieve the range profile which is immune to bistatic angle influence, the MCAMP algorithm is proposed by using the Kronecker product. The Fast Fourier Transform (FFT) is introduced to instead of multiplication between matrix and matrix, which improves the efficiency of the proposed algorithm by reducing the computational complexity further. Simulation imaging results verify the effectiveness and efficiency of the proposed method. -
表 1 3种算法的计算复杂度对比
算法 计算复杂度 MOMP $O\left( {{L_1}\!\!^4 + N{L_1}\!\!^3 + {L_1}NQ{N_a}} \right)$ MFOCUSS $O\left( {{L_2}{N^3} + {L_2}\left( {N + {N_a}} \right)\left( {NQ + {Q^2}} \right)} \right)$ 本文算法 $O\left( {{L_3}{N_a}Q{{\log }_2}Q} \right)$ 
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表 2 电磁计算参数设置
参数 数值 发射站与XOZ平面夹角 0° 发射站与YOZ平面夹角 105° 接收站与XOZ平面夹角 80°～85° 接收站与YOZ平面夹角 105° 扫掠频率 10～11 GHz 频率点数 300 脉冲数 256 平均双基地角 82.5° 脉冲压缩前信噪比 0 dB
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