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This paper proposes a knowledge-aided shrinkage interference covariance matrix estimation approach in space time adaptive processing (STAP) which exploits the prior interference covariance matrix based on clutter model as the shrinkage target matrix. The oracle shrinkage coefficient under Gaussian assumption is derived and the estimated consistent shrinkage coefficient is also provided since the true...
To improve the performance of phased array radar for the weak object detection, accumulation process is required to be performed over time to gather sufficient energy. For this purpose, the coherent integration algorithm is studied in this paper. First, a quasi-random pulse train echo model is presented, which divides the pulse train into a few sub-pulse-trains (time is uniform within the sub-pulse-train,...
A novel multi-focus image fusion method based on Uniform Discrete Curvelet Transform (UDCT) is proposed to overcome conventional muti-scale analysis image fusion shortcomings, such as high data redundancy ratio, complicated structure and poor performance, etc. First, UDCT is applied to the multi-focus images and subband coefficients of multi-scales and multi-directions are obtained. Then, different...
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