A joint decision target detection method for heterogeneous radar

Abstract

The present invention proposes a special-shaped radar joint judgment target detection method, respectively adopts the high and low thresholds to perform CFAR detection on the original video data of each radar, and extracts the distance cohesion point trace from the data after the high and low threshold detection of each radar, and according to the local information of the distance point trace The clutter / noise ratio and the noise floor of each radar are used to normalize the trace amplitude, and the joint detection and judgment of the low-threshold detection condensation point traces of all radars are carried out according to the radar distance measurement error, and the high-threshold detection condensation point traces of multiple radars are detected. Combined to complete the original video-level multi-radar joint target detection processing. The present invention adopts two kinds of thresholds, high and low, which improves the probability of target detection. For each radar, the distance point trace is first extracted and then jointly judged, which avoids the failure of direct fusion processing caused by the difference in multi-radar sampling rate, resolution, noise floor, etc. question.

Description

technical field [0001] The invention belongs to the technical field of radar target detection. Background technique [0002] The increasingly complex electromagnetic environment makes single-radar target detection more and more challenging. Multiple radar devices installed on the same platform can be dispatched through reasonable time, frequency, energy and other aspects under the condition of task arrangement permission. Realize joint target detection, improve target detection capability, and have great application potential in engineering, mainly reflected in two aspects: First, multiple radar data on the same platform can realize real-time data transmission and communication through optical fiber or network. Interaction, there are many problems that need to be considered in remote data transmission; second, the position information of multiple radars located on the same platform is clear, the coordinates are unified, and spatial synchronization and position registration a...

AI Technical Summary

Problems solved by technology

Since the sampling rate, resolution, precision, noise power level and other parameters of each radar device may be different, it is impossible to directly perform fusion / detection processing on multi-radar raw video data

In the document "Multi-radar Video Fusion System Design" (Master's Degree Thesis of Xidian University, 2009), a method of clustering and fusion of the same target video based on connected area marking is proposed, and the time-space alignment of the multi-radar video center is carried out. Using the idea of ​​clustering in pattern recognition theory, the center clusters the video centers of the same target under different radars, and then sends the target fusion center to the tracking system. Unable to confirm a valid target fusion center

In the document "Low Resolution Sea Radar Video Signal Registration Based on Mutual Information" (High Technology Communication, 2014, Vol.24, No.8, pp:800-806), the video signal was studied based on two sea radars The spatial characteristics of registration and its influencing factors are analyzed, the similarities and differences of target echo envelopes between different radars are analyzed, and a registration method based on mutual information is proposed, which is verified based on the measured data of S-band and C-band. The amount is large, and the registration parameter search takes a long time

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