A new approach to real time estimation of false plot probabilities of a surveillance system in the presence of clutter residual is presented. Starting from a system model based on martingale difference sequence theory, the optimal estimator and the suboptimal linear estimator in the minimum mean squared error (MMSE) sense are derived. A comparison of the two estimators based on simulation results shows that the linear solution can be very attractive when the small performance degradation is compared to the lower complexity.

Neri, A. (1985). APPROACH TO CLUTTER RESIDUALS MODELING AND ESTIMATION. ALTA FREQUENZA, 54(1), 27-36.

APPROACH TO CLUTTER RESIDUALS MODELING AND ESTIMATION

NERI, Alessandro
1985-01-01

Abstract

A new approach to real time estimation of false plot probabilities of a surveillance system in the presence of clutter residual is presented. Starting from a system model based on martingale difference sequence theory, the optimal estimator and the suboptimal linear estimator in the minimum mean squared error (MMSE) sense are derived. A comparison of the two estimators based on simulation results shows that the linear solution can be very attractive when the small performance degradation is compared to the lower complexity.
Neri, A. (1985). APPROACH TO CLUTTER RESIDUALS MODELING AND ESTIMATION. ALTA FREQUENZA, 54(1), 27-36.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/305237
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