The invention discloses a
radar multi-target tracking PHD implementation method, and the method specifically comprises the following steps: S1, calculating the
state prediction estimation of each target at the k moment based on the states of a plurality of tracking targets at the k-1 moment; S2, converting the
radar measurement data at the moment k into target state likelihood data under a Cartesian coordinate
system; S3, performing product
hybrid filtering on the
Gaussian component predicted in the step 1 and target state likelihood data; S4, calculating
Gaussian components and final weightsof all targets in the
radar tracking area; S5, abandoning the
Gaussian components of which the final weights are smaller than a
pruning threshold value, and combining the Gaussian components of whichthe distribution distances are smaller than a combination threshold value; S6, taking the weight sum of all Gaussian components as the number of tracking targets, taking the mean value of the Gaussiancomponents with the weight greater than 0.5 as the target state, and iteratively carrying out the next round of filtering until the tracking is finished; the data fusion process is simple, the anti-
clutter performance is excellent, the state
estimation precision of the tracking target is high, and the target number
estimation is accurate.