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:
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- IEEE Keywords
- Index Terms
- Heterogeneous Background ,
- Clutter Suppression ,
- Multilook Processing ,
- Adaptive Clutter Suppression ,
- Adaptive Method ,
- Range Resolution ,
- Signal-to-noise ,
- Training Set ,
- Covariance Matrix ,
- Adaptation Process ,
- Probability Density Function ,
- Column Vector ,
- False Alarm ,
- Detection Probability ,
- Optimization Criteria ,
- Filter Order ,
- Output Filter ,
- Signal Bandwidth ,
- Adaptive Filter ,
- Signal Vector ,
- Background Clutter ,
- Ground Clutter ,
- Sample Covariance Matrix ,
- Doppler Frequency ,
- Optimal Filter
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Heterogeneous Background ,
- Clutter Suppression ,
- Multilook Processing ,
- Adaptive Clutter Suppression ,
- Adaptive Method ,
- Range Resolution ,
- Signal-to-noise ,
- Training Set ,
- Covariance Matrix ,
- Adaptation Process ,
- Probability Density Function ,
- Column Vector ,
- False Alarm ,
- Detection Probability ,
- Optimization Criteria ,
- Filter Order ,
- Output Filter ,
- Signal Bandwidth ,
- Adaptive Filter ,
- Signal Vector ,
- Background Clutter ,
- Ground Clutter ,
- Sample Covariance Matrix ,
- Doppler Frequency ,
- Optimal Filter
- Author Keywords