Radar Pulse Train Parameter Estimation and Tracking using Neural Networks
نویسنده
چکیده
The post-deinterleaving radar pulse train problem requires estimation of the parameters and tracking of the individual pulse trains. A simple recurrent back-propagation neural network is used based on a simple state space time series formulation of the radar problem. The network incorporates a novel hueristic adap-tive error threshold that allows simultaneously good tracking and parameter estimating abilities. Two simple but revealing examples are presented to show how the network is robust to missing and spurious pulses, as well as multiple level staggers with discontinuous mode changes.
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