Abstract:
It is known that the performance of adaptive clutter suppression may be reduced seriously in a heterogeneous background, due to the lack of enough training samples to exa...Show MoreMetadata
Abstract:
It is known that the performance of adaptive clutter suppression may be reduced seriously in a heterogeneous background, due to the lack of enough training samples to exactly obtain the optimum weight. Furthermore, a background will be further heterogeneous with the improving of range resolution. In this paper, we propose an improved adaptive clutter suppression method based on multi-look processing, which can mitigate background homogeneity by reducing the range resolution. Furthermore, non-coherent integration is applied among multiple sub-looks to improve the clutter suppression performance. Finally, some results of real measured data are provided to demonstrate the effectiveness of the method in a heterogeneous background.
Published in: 2016 CIE International Conference on Radar (RADAR)
Date of Conference: 10-13 October 2016
Date Added to IEEE Xplore: 05 October 2017
ISBN Information: