Distributed radar incoherent fusion method for independent non-identically distributed fluctuating targets

In the research of distributed radar incoherent fusion, most of them consider independent identically distributed target RCS models, furthermore the signal-to-noise ratios of each node of the radar may differ greatly under non-ideal conditions, which reduces the detection performance of the incoherent detector. Therefore, this paper investigates the node selection of independently non-identically distributed lognormal fluctuating targets for incoherent detector under distributed radar. Specifically, this paper approximates the lognormal sum by using a new lognormal probability density function (pdf) and gives an approximate expression for the detection probability. Finally, some conclusions are drawn from numerical simulation experiments on node selection.