Several papers have been published recently using the method ofleast squares for passive position location estimation. While the Kalman filter is mentioned as an alternative approach in most ofthese papers, none of the papers actually compare the performanceof the Kalman filter with the method of least squares. In this paper,the performances of the extended Kalman filter and the iteratedextended Kalman filter are compared with the method of leastsquares. Monte Carlo results are given showing how the a prioricovariance matrix influences the accuracy of the extended Kalmanfilter.
Passive Position Location Estimation Using the Extended Kalman Filter
IEEE Transactions on Aerospace and Electronic Systems ; AES-23 , 4 ; 558-567
01.07.1987
2070229 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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