Radar object speed tracking method based on cross-product automatic frequency control

Abstract

The invention provides a radar object speed tracking method based on cross-product automatic frequency control. A cross-product automatic frequency control method is used to measure target Doppler frequency difference, a measured value is sent to a loop filter, the object speed in a next coherent processing interval is predicted, and a speed tracking loop is formed. According to the method, the problem that the tracking precision relies on the resolution of rapid Fourier transform is overcome, the problem of deficiency in a data filtering function is solved, and the method is low in errors and high in precision.

Description

technical field [0001] The invention belongs to the technical field of radar target tracking, and in particular relates to a radar target speed tracking method based on cross-product automatic frequency control. Background technique [0002] The traditional radar target speed tracking method is to use the high and low tracking filter to realize the tracking of the target Doppler after the narrowband signal of the radar speed channel is transformed by Fast Fourier Transformation (FFT), and then the target speed tracking is obtained. value, thereby realizing the tracking of the target speed by the radar. [0003] There are two main disadvantages in this method, which will lead to low tracking accuracy and large tracking error of the radar to the target speed. (1) The tracking accuracy of the traditional speed tracking method depends on the FFT resolution, and the FFT resolution that can be provided on the hardware signal processing platform is limited, which makes the traditi...

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Problems solved by technology

[0003] There are two main disadvantages in this method, which will lead to low tracking accuracy of the radar to the target speed and large tracking error

(1) The tracking accuracy of the traditional speed tracking method depends on the FFT resolution, and the FFT resolution that can be provided on the hardware signal processing platform is limited, which makes the traditional speed tracking method limited in the speed measurement accuracy; (2) the traditional speed tracking In the method, only the current speed measurement value is used, and data filtering is not performed on several previous measurement values. The difference between two adjacent speed tracking values ​​is generally large, and the speed tracking curve has many glitches, resulting in a large tracking error.

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