Non-coherent fusion target detection method of distributed drone MIMO radar

Abstract

The invention discloses a non-coherent fusion target detection method of a distributed drone MIMO radar. The method comprises the steps that firstly, the position and target speed of a searching basepoint are set, the point is adopted as a center to establish a four-dimensional searching grid, and then a whole searching area is traversed to obtain distance-Doppler information of a target; on thisbasis, each receiver of the distributed drone MIMO radar carries out matched filtering processing on received echo signals, extracts echo signals transmitted by different platforms, carries out clutter suppression processing on the echo signals, then sends the echo signals to a central processing station for centralized fusion detection and compares the fusion detection amount with a detection threshold to obtain a detection result, and the position and speed of the target are thus determined. The method achieves not only the purpose of target detection but also the purpose of target positioning, avoids the calculation for mutual matching of targets detected by different receivers, and improves the target positioning precision and efficiency.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a non-coherent fusion target detection method of a distributed unmanned aerial vehicle MIMO radar. Background technique [0002] With the development of modern technology, war has increasingly become a "information" war. Radar is the "clairvoyance" of this war, and it will definitely become the enemy's key defense object. In order to counter radar early warning, stealth target attack, anti-radiation missile attack, integrated electronic jamming and ultra-low-altitude target penetration have become the four major threats to early warning radar. In this context, considering that multi-base radars have many advantages against the four major threats compared with single-base radars, countries are constantly developing more modern and better-performing multi-base radars. The concept of multiple input multiple output (MIMO) radar was proposed by Bliss and ...

AI Technical Summary

Problems solved by technology

However, the flexibility of the current radar is low, so it takes a long time to change the deployment distribution; at the same time, the detection information between different receivers needs to be matched and calculated, which increases the computational complexity, and the quality of the match determines the final result. The detection results make the system detection performance poor

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