基于二维频率估计的MIMO-ISAR空时二维回波重排方法
doi: 10.3724/SP.J.1146.2013.01558
A Method for Rearrangement of 2D MIMO-ISAR Space-time Echo Based on 2D Frequency Estimation
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摘要: 为联合利用MIMO-ISAR空时采样信号进行成像，该文提出一种基于2维频率估计的MIMO-ISAR空时2维回波重排方法。该方法通过对空域和时域信号频率的比值进行估计，实现空时信号的有效重排，插值为均匀数据后，利用FFT完成方位向压缩。与现有方法相比，该方法利用现代谱估计算法的超分辨性能，提高了参数估计精度，并且采用随机霍夫变换(Randomized Hough Transform, RHT)估计2维频率比值，使得该方法在空域采样信号频率发生模糊时仍适用。仿真结果表明该方法可有效联合空时信号成像。
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关键词:
- 多入多出雷达 /
- 逆合成孔径雷达 /
- 回波重排 /
- 2维频率估计 /
- 随机霍夫变换(RHT)
Abstract: In order to jointly use the MIMO-ISAR space-time sampling signals for imaging, a novel method based on 2D frequency estimation is proposed for the rearrangement of MIMO-ISAR space-time echo. Firstly, the ratio of the frequencies of space and time sampling signals is estimated, and then the space-time sampling signals are rearranged according to the ratio. After uniform interpolating, the azimuth image is retrieved by FFT processing. Compared with the existing approach, the precision of parameter estimation is efficiently improved by utilizing the super-resolution performance of the modern spectral estimation algorithm. Meanwhile, the ratio of the two frequencies is estimated via Randomized Hough Transform (RHT), and the proposed method is still applicable when the frequency of the space sampling signal is ambiguity. The simulation results confirm the validity of the proposed method. -
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