Title :
High resolution direction finding by structured covariance matrix matching
Author_Institution :
Hughes Aircraft Co., Fullerton, CA, USA
Abstract :
The author develops a high-resolution method for estimating the angles-of-arrival of multiple, possibly correlated, stochastic signal sources based on a least-squares structured covariance matrix matching criterion. It is shown that this approach results in a separable solution, with the angle estimates being obtained by maximizing a function over only the angle parameters. The source covariance matrix estimate is obtained by an explicit closed-form formula. The method results in a substantial reduction of the parameter set required for numerical optimization compared to previous approaches based on direct maximization over all unknown parameters. Computer simulation results are presented to demonstrate the performance of the proposed methods
Keywords :
digital simulation; matrix algebra; optimisation; radio direction-finding; signal processing; stochastic processes; angle estimates; angles-of-arrival; computer simulation; direction finding; explicit closed-form formula; high-resolution method; least-squares structured covariance matrix matching criterion; multiple sources; numerical optimization; parameter set; stochastic signal sources; structured covariance matrix matching; Aircraft; Amplitude estimation; Approximation methods; Computer simulation; Covariance matrix; Maximum likelihood estimation; Optimization methods; Sensor arrays; Signal resolution; Stochastic processes;
Conference_Titel :
Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
Conference_Location :
Minneapolis, MN
DOI :
10.1109/SPECT.1988.206186
