Radar Target Angle Estimation Method Based on MTD Pulse Accumulation and Sliding Processing

Abstract

The invention discloses a radar target angle estimation method based on MTD pulse accumulation and sliding processing. The main idea is to obtain the echo signal of the radar target and determine the center frequency of the Doppler channel where the radar target is located; and then determine the radar target in turn. The number L of pulses received within the angular range of the target and the number N of pulses received within the set range of the beam scanning diagram; moving target detection pulse accumulation and pulse sliding are performed on the number L of pulses received within the angular range of the radar target After processing, the azimuth angle corresponding to the pulse accumulated echo data that has gone through L‑N+1 sliding windows and the pulse accumulated echo data that has gone through L‑N+1 sliding windows are respectively obtained; for the pulse accumulated echo data that has gone through L‑N+1 sliding windows Perform a peak search on the pulse accumulation echo data to obtain the maximum pulse accumulation echo data among the pulse accumulation echo data that has passed through L-N+1 sliding windows, and then obtain the best azimuth angle estimate of the radar target.

Description

technical field [0001] The invention belongs to the field of radar target parameter estimation, and in particular relates to a radar target angle estimation method based on MTD pulse accumulation and sliding processing, that is, a radar target angle estimation method based on moving target detection (MTD) pulse accumulation and sliding processing, which is suitable for obtaining Machine-scanned radar azimuth in the background of clutter. Background technique [0002] Radar target parameter estimation is to extract effective target information by processing the received echo signals, such as azimuth, elevation, distance and other target information. When the radar scans the mechanical beam, it obtains the beam scan diagram, that is, the relationship diagram of the echo signal with the angle, and then finds the angle corresponding to the peak value of the target echo signal as the azimuth angle of the target signal. For this conventional method, when the background environmen...

AI Technical Summary

Problems solved by technology

Using this method can effectively suppress the clutter component, but using this method to process a group of pulses, only one output value can be obtained. This method can only output one central angle, so the accuracy error of angle estimation is still relatively large

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