Multikernel optimized beam forming using sparse representation for non-uniform linear array

Antenna communication uses the sophisticated algorithms for Direction of Arrival estimation in the non uniform-linear array topology. Radar applications uses the mathematical models for Direction of Arrival estimation of the approaching signals. Recent developments in Basis pursuit solver algorithm have led to better beam forming techniques for Direction of Arrival algorithms. Sparse representation of signal helps in better signal analysis. This paper examines how to compute the direction of arrival of non-uniform linear array using sparse computation. A comparison between traditional techniques and sparse representation to estimate the direction of arrival is also studied. A novel method is proposed based on basis pursuit denoising (BPDN) to estimate the Direction of arrival. Simulation results are verified with the formulation developed for direction of arrival. A advanced manifold matrix is developed using the cumulative basis vector as the building element of the manifold matrix. MATLAB based simulation is developed with the advanced basis vector based manifold matrix to get the Direction of Arrival from multiple sources.