Maximum a Posteriori Based Approach for Target Detection in MTI Radar

作者：Hyder Md Mashud^*; Mahata Kaushik

来源：IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2012, 2(3): 392-401.

DOI：10.1109/JETCAS.2012.2217095

• Airborne radar
• angle-Doppler imaging
• maximum a posteriori estimation
• sparse representation

We propose a sparse recovery approach to detect moving targets in clutter. In presence of clutter, the target space is not sparse. We propose a simple way to estimate the clutter region. We then enforce sparsity by modeling the clutter as a single extended cluster of nonzero components. This done by solving a sparse signal recovery problem with partially known support within a maximum a posteriori estimation framework. The resulting algorithm is applied in angle-Doppler imaging for moving target indication in an airborne radar. Our approach has a number of advantages including improved robustness to noise and increased resolution with limited data.

• 出版日期2012-9