A Parameter Estimation Method for Tracking Radiation Source Based on Passive Radar Seeker and Its Application
A passive radar and parameter estimation technology, applied in the field of tracking radiation source parameter estimation of radar, can solve the problems of increasing the difficulty of target recognition, poor, inability to agile frequency pulse PRI estimation and other problems, and improve the time continuity. and reliability, improve accuracy, and improve the effect of anti-interference performance
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Embodiment 1
[0034] like figure 1 As shown, a method for estimating parameters of a tracking radiation source based on a passive radar seeker, when there is one radar and several interference sources in the tracking direction, the radar signal is screened out through the following steps, and the pulse parameters are estimated:
[0035] Step 1: Save the PDW (Pulse Description Word) of the pulse in the tracking direction; calculate the deviation between the arrival direction of each input pulse and the tracking direction, and save the PDW of the pulses whose deviation is less than the tolerance in order according to the arrival time;
[0036] Step 2: Calculate the leading edge frequency and leading edge slope of each pulse in the tracking direction, and save it to PDW; calculate the first-order difference of the delay phase difference of 8 sampling points at the leading edge of each pulse, divide it by the sampling interval, and obtain the leading edge frequency; calculate each pulse The sec...
Embodiment 2
[0047] An application of the passive radar seeker-based tracking radiation source parameter estimation method described in Embodiment 1 in radio reconnaissance.
[0048] In summary, the present invention can effectively estimate the PRI of the agile frequency pulse by first eliminating the fixed frequency pulse, and then dividing the agile frequency pulse into the same subspace, which overcomes the inability of the traditional method to estimate the PRI of the agile frequency pulse It improves the time continuity and reliability of the estimation method. The classification parameters adopted by the present invention are pulse front frequency and front slope, which are more reliable than the average frequency and pulse width adopted by the traditional method in the interference environment, improve the anti-interference performance of the estimation method, and improve the accuracy of parameter estimation at the same time.
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