Title :
A decoupled approach to adaptive signal separation using an antenna array
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
fDate :
5/1/1999 12:00:00 AM
Abstract :
This paper considers a new approach to the problem of adaptive separation of digitally modulated signals arriving at an antenna array. The basic idea is to decouple the estimation procedure, treating one signal at a time to be the signal of interest. The method uses an iterative scheme similar to the well-documented iterative least squares with projection (ILSP) algorithm, exploiting the finite alphabet (FA) property of the signals to obtain signal estimates. The proposed algorithm is analyzed in terms of consistency and uniqueness properties, and a statistical performance analysis is carried out. The analysis together with simulation results indicate that a significant saving in computational complexity is accomplished relative to ILSP, while essentially having similar performance
Keywords :
adaptive antenna arrays; adaptive signal processing; array signal processing; cochannel interference; computational complexity; demodulation; direction-of-arrival estimation; interference suppression; iterative methods; land mobile radio; modulation; statistical analysis; CCI; ILSP algorithm; adaptive signal separation; antenna array; cochannel interference; computational complexity; consistency; decoupled approach; demodulation; digitally modulated signals; estimation procedure; finite alphabet; interference suppression; iterative least squares with projection; iterative scheme; performance; signal estimates; signal of interest; simulation results; statistical performance analysis; uniqueness; wireless mobile communications; Adaptive arrays; Algorithm design and analysis; Antenna arrays; Computational modeling; Digital modulation; Iterative algorithms; Iterative methods; Least squares approximation; Performance analysis; Source separation;
Journal_Title :
Vehicular Technology, IEEE Transactions on