This invention discloses a multi-frequency, multi-
target range-velocity deambiguation method and
system based on
phased array fire control radar, mainly addressing the low accuracy of existing methods in handling multi-target
ambiguity. The implementation scheme is as follows: acquiring measurement points from the
phased array fire control radar and generating a full-space candidate
point set; discretizing the range-velocity plane into a grid, counting the number of candidate points and non-repeating frequency groups within each grid block; dividing the grid into blocks based on block-level neighborhood statistics to generate the candidate
point set; calculating the unique frequency support number of the candidate
point set and performing clustering to obtain candidate point clusters; statistically estimating the candidate point clusters, outputting
target range and velocity estimates, forming the deambigued target set for the current frame. This invention can reduce the probability of false clustering structures formed by erroneous unfolding points,
clutter points, and
false alarm points, improving the accuracy and real-
time processing efficiency of multi-
target range-velocity joint deambiguation in complex scenarios, and can be used for multi-
target signal processing and target tracking in
phased array fire control radar.