Weak target detection exploiting bernoulli filter for Ubiquitous radar

摘要

Weak target detection performance is particularly important for Ubiquitous radar. When the signal-to-noise ratio (SNR) is low, a low detection threshold is needed to guarantee the probability of detection, which may increase false alarm rate and combinatorial problem. Instead of data level processing, signal level processing schemes will reduce the information loss. In this paper we set the phase, Doppler frequency and amplitude of the target as the target state and the measurements for Bayesian filter on signal level. And the filter is derived using the tools of the finite set statistics (FISST) to solve the problem of computational complexity. Thus this paper exploitsa Bayesian method to detect the weak target. The method is based on the finite set representation of the target state by utilizing Bernoulli filter, which is implemented in the form of particle filter (PF) based TBD. Simulation results show that the proposed filter can simultaneously detect and track the weak target using the radar measurements.