Abstract
This paper deals with the direction-of-arrival (DOA) estimation of local scattered code-division multiple access (CDMA) signals based on a particle swarm optimization (PSO) search. For conventional spectral searching estimators with local scattering, the searching complexity and estimating accuracy strictly depend on the number of search grids used during the search. In order to obtain high-resolution and accurate DOA estimation, a smaller grid size is needed. This is time consuming and it is unclear how to determine the required number of search grids. In this paper, a modified PSO is presented to reduce the required search grids for the conventional spectral searching estimator with the effects of local scattering. Finally, several computer simulations are provided for illustration and comparison.
Highlights
Adaptive array techniques have been developed for enhancing the performance of code-division multiple access (CDMA) systems
Simulation results show that the proposed adaptive inertia weight PSO (APSO)-GMUSIC estimator is very suitable to treat the DOA
The multiple signal classification (MUSIC) searching function derived by the steering vector of the generalized array manifold (GAM) model in Equation (10), which is termed as GMUSIC and can be expressed as: GS p (θ, ρ ) = max θ,ρ
Summary
Adaptive array techniques have been developed for enhancing the performance of code-division multiple access (CDMA) systems. There have been some studies appraising the impact of a local scattering channel model on CDMA system, which propose uniform linear array (ULA) geometry [3] They use a first-order Taylor expansion to linearize the nonlinear conventional array manifold produced by scatters and develop the generalized array manifold (GAM) model which can obtain better nominal DOA estimation for mobiles. Searching function derived by the steering vector of the GAM model is termed as GMUSIC In all these studies, estimation of direction of arrival (DOA) of the desired signals is required. A modified adaptive inertia weight PSO (APSO) is proposed to rationally balance the global exploration and local exploitation abilities of the particle to the GMUSIC criteria function [3] for CDMA signals. Simulation results show that the proposed APSO-GMUSIC estimator is very suitable to treat the DOA estimation for CDMA signals in a local scattered scenario
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
