Cyclostationary LMS Beamforming Algorithm

Author

Qu Qiang ; Jin Minglu ; Liu Qian

Author_Institution

Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

The conventional adaptive least mean square (LMS) algorithm has been utilized in array antenna beamforming to direct the radiated power towards the desired signal and null the multipath signals. In this paper, LMS algorithm is investigated for inputs from cyclostationary random processes. According to cyclostationarity of error signal, a novel cost function and recursive algorithm are presented and applied in beamforming. The simulation results indicate that the performances of the proposed algorithm are better than those of the conventional LMS algorithm and block LMS (BLMS) algorithm in respect of convergence rate and steady state mean square error.

Keywords

antenna arrays; antenna theory; array signal processing; least mean squares methods; recursive estimation; array antenna beamforming; cyclostationary LMS beamforming algorithm; least mean square algorithm; recursive algorithm; steady state mean square error; Adaptive arrays; Adaptive filters; Array signal processing; Convergence; Cost function; Electromagnetic scattering; Finite impulse response filter; Least squares approximation; Random processes; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.434

Filename

4678343