Improved Target Localization in Multiwaveform Multiband Hybrid Multistatic Radar Networks

This study proposes an algorithm to improve the target localization performance. is implemented in a multiwaveform multiband hybrid (passive and active) multistatic radar network scenario that utilizes broadcasting signals for sensing addition waveforms. Multiwaveform receivers can exploit broadcast transmitted by noncooperative transmitters, such as communication or systems, waveform. Hence, multiple measurements of targets be acquired fused detection parameter estimation. Because utilizing various waveforms, each transmitter–receiver (Tx–Rx) pair has different range velocity estimation accuracy, which also affected bistatic geometry pairs. Taking this into account, based on Cramér–Rao lower bounds (CRLBs) networks. It shown modeling entire network, evaluating CRLB advance, information while estimating location significantly accuracy. Moreover, proposed includes height correction stage achieve better 3-D