RGPO interference identification method based on filtered data processing
A technology for data processing and interference, applied in the field of radar, it can solve the problems of reduced measurement value, difficulty in identifying radar, high probability of false detection, etc. Effect
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[0037] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0038] Step 1. Simulate a single target moving in a straight line at a uniform speed in a two-dimensional plane to obtain the real track of the target.
[0039] Consider the location information of the target [x k the y k ] T As the measurement value, that is, the measurement equation is linear, so the tracking filter algorithm used by the radar in this example is a typical Kalman filter, that is, the KF algorithm, and its implementation is as follows:
[0040] Establish a Cartesian coordinate system unified with the system, and set the initial state vector of the target as Let the motion model of the target be a uniform motion model:
[0041] x k =F k x k-1 +V k ,
[0042] Among them, F k State transition matrix:
[0043]
[0044] Among them, T is the sampling time interval, V k with covariance Q k The zero-mean, white Gaussian process noise of , that is ...
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