Doppler centroid estimation for azimuth-offset SARS

Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995 Pub Date : 1995-05-22 DOI:10.1109/NAECON.1995.521926

Ayob Sharif, Ian G. Cumming

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引用次数: 6

Abstract

Successful processing of Synthetic Aperture Radar (SAR) data requires that the Doppler centroid frequency be accurately estimated. A method for estimating the Doppler centroid for azimuth-offset SAR signals in the presence of noise and speckle is presented. For azimuth-offset SAR systems, changes in the Doppler centroid will cause distortions in the shape of the azimuth spectrum. As a result, the traditional correlation-based estimators will not provide accurate estimates. Doppler centroid estimation based on edge detection provides a practical alternative. The edge detector is tuned to detect a fairly wide, smooth, roof-like type of edge in the signal power spectrum. This method of estimation is evaluated with real data to measure its performance. The results are compared to those obtained by other estimation techniques based on spectrum fitting and energy balance. The accuracy of the edge detection technique over a 2048 azimuth cells by 16 range cells area is found to be 0.02 PRF rms. The edge detection principles can offer a convenient solution for Doppler estimation of range-offset and non-offset SAR signals as well.

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方位偏移sar的多普勒质心估计

合成孔径雷达(SAR)数据的成功处理需要准确估计多普勒质心频率。提出了一种在存在噪声和散斑的情况下估计方位偏移SAR信号多普勒质心的方法。对于方位偏移SAR系统，多普勒质心的变化会引起方位谱形状的畸变。因此，传统的基于相关性的估计器将不能提供准确的估计。基于边缘检测的多普勒质心估计提供了一种实用的替代方法。边缘检测器被调整为检测信号功率谱中相当宽、光滑、屋顶状的边缘。用实际数据对该估计方法进行了评估，以衡量其性能。并与其他基于谱拟合和能量平衡的估计方法进行了比较。在2048个方位角单元乘16个距离单元的范围内，边缘检测技术的精度为0.02 PRF rms。边缘检测原理为距离偏置和非偏置SAR信号的多普勒估计提供了方便的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995

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