Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigate the performance of some sparse recovery and compressed sensing algorithms when applied to the Angle-of-Arrival (AoA) estimation problem. In particular,  review three different approaches in compressed sensing, namely Pursuit-type, Thresholding-type, and Bayesian-based algorithms. The compressed sensing algorithms revied herein are of vast interest when applied to AoA estimation problems because of their ability to resolve sources with a single snapshot and without prior knowledge of the number of sources.  compare the performance of these algorithms in terms of Mean-Square Error (MSE) through simulations.
['Ahmad Bazzi', 'Dirk T. M. Slock', 'Lisa Meilhac', 'Swarnalathaa Panneerselvan']
I am writing a research paper on a idea A comparative study of sparse recovery and compressed sensing algorithms with application to AoA estimation
[{"from": "human", "value": "I am writing a research paper on a idea A comparative study of sparse recovery and compressed sensing algorithms with application to AoA estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigate the performance of some sparse recovery and compressed sensing algorithms when applied to the Angle-of-Arrival (AoA) estimation problem. In particular,  review three different approaches in compressed sensing, namely Pursuit-type, Thresholding-type, and Bayesian-based algorithms. The compressed sensing algorithms revied herein are of vast interest when applied to AoA estimation problems because of their ability to resolve sources with a single snapshot and without prior knowledge of the number of sources.  compare the performance of these algorithms in terms of Mean-Square Error (MSE) through simulations."}]