By Topic

Optimization of Angle-of-Arrival Estimation Via Real-Valued Sparse Representation With Circular Array Radar

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
3 Author(s)
Kazemi, I. ; Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran ; Moniri, M.R. ; Kandovan, R.S.

This paper suggests a real-valued sparse representation method using a unitary transformation that can convert complex-valued manifold matrices from uniform circular array into real ones. Because of this transformation, the computational complexity is modified. Simulation results confirmed the effectiveness of the proposed method with a circular array radar.

In this paper, we proposed a real-valued sparse representation method for AOA estimation with UCA. We converted the complex optimization problem into a real one by applying a unitary transformation and subsequently reduced the computational complexity at a considerable rate. Simulations validate the effectiveness of our algorithm with UCA and suggest that the performance of the AOA estimation is more modified than the original -SVD method with ULA. In this paper, we proposed a real-valued sparse representation method for AOA estimation with UCA. We converted the complex optimization problem into a real one by applying a unitary transformation and subsequently reduced the computational complexity at a considerable rate. Simulations validate the effectiveness of our algorithm with UCA and suggest that the performance of the AOA estimation is more modified than the original -SVD method with ULA.

Published in:

Access, IEEE  (Volume:1 )
comments powered by Disqus