相變圖在稀疏微波成像變化檢測降采樣分析中的應用

田野; 畢輝; 張冰塵; 洪文

doi:10.11999/JEIT150272

相變圖在稀疏微波成像變化檢測降采樣分析中的應用

doi: 10.11999/JEIT150272

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出版歷程
- 收稿日期: 2015-03-04
- 修回日期: 2015-06-08
- 刊出日期: 2015-10-19

Application of Phase Diagram to Sampling Ratio Analysis in Sparse Microwave Imaging Change Detection

摘要

摘要: 相變圖是稀疏微波成像雷達性能評估的一種重要方式，它可以準確刻畫出雷達成像性能隨稀疏度、采樣比和信噪比3個參數(shù)的變化趨勢，給出不同參數(shù)組合下場景準確重建的概率值。稀疏微波成像變化檢測中，由于場景的變化相對于整個觀測區(qū)域是稀疏的，利用分布式壓縮感知方法可以在采樣比組合滿足一定條件下準確提取場景變化量。該文在場景稀疏度和信噪比不變的情況下，研究前后觀測數(shù)據的采樣比對變化檢測結果的影響，繪制稀疏微波成像變化檢測相變圖，并利用相變圖分析變化檢測結果隨前后兩次觀測的采樣比參數(shù)的變化趨勢，確定可以實現(xiàn)準確重建的采樣比參數(shù)組合范圍。最后通過仿真和實驗驗證相變圖用于分析稀疏微波成像變化檢測結果的可行性和有效性，為實際稀疏微波成像系統(tǒng)降低數(shù)據采集量和系統(tǒng)設計復雜度提供依據。
- 稀疏微波成像 /
- 變化檢測 /
- 相變圖 /
- 分布式壓縮感知
Abstract: Phase diagram is an important method to evaluate sparse microwave imaging radar performance. Phase transition boundary can characterize the trend of accurate recovery rate visibly and clearly in terms of varied SNR, sparsity and sampling ratio. In sparse microwave imaging change detection, the small variation can be accurately extracted from multiple observations using distributed compressed sensing theory for the sparse scene. Phase diagram is introduced to evaluate the performance of change detection in different sampling ratio under the conditions that the sparsity and SNR has little change. Phase diagram can be used to describe the trend of phase transition boundary and to determine the data collection bounds. Furthermore, a series of simulations and experiments are conducted to verify the practicability of phase diagram. It is available to reduce the measurements and complexity of the sparse microwave imaging system.
- Sparse microwave imaging /
- Change detection /
- Phase diagram /
- Distributed Compressed Sensing (DCS)

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