Rate-aided multisignal time delay detection and tracking

Abstract

Time delay detection and tracking problems have been investigated in previous papers. The approach used is applicable to many problems. In those papers, a first-order Markov process was assumed for the signal parameter (time delay) dynamic model and a constant signal parameter value was assumed within a block, or processing unit of time. A performance degradation is incurred when the signal parameter value is nearly constant-rate. Also, crossing signal parameter values from different signals cannot be tracked. The detector-trackers will switch signals. To combat these difficulties, the signal parameter dynamic model is assumed to be a second-order Markov process, and signal parameter rate of change information is computed within a block. A rate-aided multisignal detection and tracking system is developed with these assumptions. >