High-speed maneuvering target parameter estimation method based on frequency domain polynomial phase transformation

Abstract

The invention discloses a high-speed maneuvering target parameter estimation method based on frequency domain polynomial phase transformation. On the basis of data received by a space-based radar, pulse compression processing is carried out on high-speed maneuvering target echo data, fast Fourier transform is carried out along a quick time direction of the data after the pulse compression processing to obtain range frequency domain-slow time data, delaying is carried out on the range frequency domain-slow time data, conjugation of the range frequency domain-slow time data through delaying and the range frequency domain-slow time data without delaying are multiplied to realize frequency domain polynomial phase transformation, inverse fast Fourier transform is carried out along a range frequency domain direction of the data after frequency domain polynomial phase transformation processing, fast Fourier transform is carried out along the slow time direction on the basis to obtain range cell-Dopple data, and finally the range cell-Dopple data are used for target parameter estimation. In the condition of a low signal-to-noise ratio and a limited accumulated pulse number, a high-precision target parameter estimation result is acquired.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing and space high-speed maneuvering target parameter estimation, and in particular relates to a high-speed maneuvering target parameter estimation method based on frequency-domain polynomial phase transformation. Background technique [0002] As the world's military powers pay more and more attention to space information, the surveillance of space high-speed maneuvering targets has become a high-tech technology that countries urgently need to develop. High-speed maneuvering targets in space mainly include satellites and space debris. Because these high-speed maneuvering targets in space move faster and have acceleration, such as space debris, which can generally reach a speed of 7000m / s and an acceleration of 20g, so aircraft operating in space are easily attacked by them, causing huge damage. harm. Due to the fast movement speed and strong maneuverability of space high-speed maneuv...

AI Technical Summary

Problems solved by technology

The Fractional Fourier Transform (FRFT) method is to transform the echo signal of the maneuvering target without distance migration. It rotates the chirp signal of the echo of the maneuvering target in the time-frequency domain and then performs the corresponding Fourier transform, that is, completes the phase However, this method is difficult to obtain better parameter estimation results when the number of pulses is limited and the signal energy is dispersed to different distance units.

Similarly, the Radon-FRFT transform method can only take out the data of integer units when taking out data along the maneuvering target parameter trajectory, because the distance walking distance of the maneuvering target is often not an integer number of distance units, but a fraction of distance units, so the Radon - The FRFT method cannot take out the maneuvering target data well and perform corresponding fractional Fourier transform processing, nor can it be directly used for parameter estimation of space high-speed maneuvering targets

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