A conventional (nonmonopulse) secondary surveillance radar (SSR) is significantly cheaper than a monopulse SSR but exhibits much greater azimuthal error, especially when some of the replies are missing. Estimation techniques and their performance are discussed with special reference to SSR applications, and a novel estimator for conventional SSR is described. The proposed technique is a close approximation of the maximum-likelihood estimator (MLE), taking into account the receiver characteristics as well as the missed replies. Estimator performance obtained by analysis and computer simulation is compared with that of conventional estimators that are based on the leading and trailing edges of binary sequences and shows significantly improved accuracy.<>
Maximum likelihood azimuth estimation applied to SSR/IFF systems
IEEE Transactions on Aerospace and Electronic Systems ; 26 , 1 ; 27-43
1990-01-01
1085835 byte
Article (Journal)
Electronic Resource
English
Maximum likelihood estimation applied to quantum-limited optical position-sensing
Tema Archive | 1990
|Maximum-Likelihood Parameter-Estimation Algorithm
NTRS | 1986
|MAXIMUM-LIKELIHOOD GPS PARAMETER ESTIMATION
Online Contents | 2005
|AZIMUTH ANGLE ESTIMATION SYSTEM AND AZIMUTH ANGLE ESTIMATION METHOD
European Patent Office | 2019
|Maximum likelihood estimation for orbit determination
AIAA | 1986
|