Sparsity-unaware High Probability DOA Estimation using Compressive Sensing based Extended OMP

Abstract

Range, velocity, and angle are the three key parameters to estimate in radar applications. Estimating the direction of arrival (DOA) of the incoming signal is one of the main challenges in antenna array signal processing. One of the major drawback of the high-resolution algorithm MUSIC is that, it requires prior information about the number of incoming targets to work properly. This issue is addressed in this paper by employing an OMP $\alpha$ where $\alpha\in\boldsymbol{[0,1]}$ called extended orthogonal matching pursuit algorithm, which runs OMP $[p+\alpha p]$ iterations instead of $p$ iterations and OMP $\infty$ which runs OMP until the residual is vanished. Results obtained shows the better performance these methods than the existing traditional methods like music.