Cramér-Rao Bounds and TX-RX Selection in a Multistatic Radar Scenario

Multistatic radars utilize multiple transmitter and receiver sites to provide several different monostatic and bistatic channels of observation. Multistatic passive and active systems can offer many advantages in terms of coverage and accuracy in the estimation of target signal parameters but unfortunately their performances are heavily sensitive to the position of receivers (RX) and transmitters (TX) with respect to the target trajectory. As known, geometry factors play an important role in the shape of the ambiguity function (AF) which is often used to measure the possible global resolution and large error properties of the target parameters estimates. Exploiting the relation between the ambiguity function and the Cramér-Rao lower bound (CRLB), in this work we propose an algorithm for choosing in a multistatic scenario, along the trajectory of the tracked target, the pair TX-RX with the best asymptotic performance calculated in terms of CRLB on estimation accuracy.