Waveform Design and Optimization in Radar Sensor Network

We investigate the use of information theory to design waveforms for the measurement of extended radar targets in radar sensor networks (RSN). The different channel gains for transmitting signals from different radar sensors are introduced to model the radar system channel. Given the transmitting signals, we optimized the estimation waveforms that maximize the mutual information between a target ensemble and the received signal within additive Gaussian noise given the transmitting signals so that characteristics of the target could be well recognized. We also study the maximum mutual information with the constraints of the number of radar sensors, waveform energy and duration, which could be taken into consideration when waveforms are designed for RSN.