RATM-CFAR detector and detection method based on distance-angle joint estimation

Abstract

The invention discloses a RATM-CFAR detector and detection method based on distance and angle joint estimation, and the method comprises the steps: collecting radar echo data, carrying out the 2D-FFT of the data to obtain an RDM distance Doppler matrix, employing a distance-angle estimation result for the priori estimation of a CFAR algorithm in a process of carrying out the CFAR of the RDM matrix, converting a frequency domain into a spatial domain, and carrying out the processing; eliminating interference targets near the to-be-detected unit and prerequisite targets far away from the to-be-detected unit, and then performing CFAR algorithm selection based on background clutter estimation on the remaining units to obtain a final detection result. According to the method, the distance-angle estimation result is used for priori estimation of the CFAR algorithm for the first time, conversion from the frequency domain to the spatial domain is achieved, the method has the advantages of being simple, capable of avoiding missing detection of small targets, high in detection precision, high in environmental adaptability and high in anti-interference performance, the detection performance of the radar in a complex environment and a multi-target environment is improved, and a new method is provided for the CFAR algorithm.

Description

technical field [0001] The invention relates to the technical field of radar signal multi-target detection, in particular to a radar signal multi-target detection method based on RATM-CFAR and a background clutter processing method. Background technique [0002] With the development of society and technology, the rapid development of artificial intelligence and the automobile industry, there is no doubt that the driver's cooperation with the assisted driving system is the main form of future car travel, and the vehicle-mounted millimeter-wave radar is an important component of the assisted driving system. high research value. However, during the detection process of the radar, the received signal is not only the target signal, but also contains some real-time changing clutter signals. Faced with this situation, the radar constant false alarm rate (Constant False Alarm Rate, CFAR) processing should also be used. And born. The advent of CFAR processing technology can keep th...

AI Technical Summary

Problems solved by technology

The assumption of traditional CFAR can only achieve better detection performance in a specific environment. However, with the complexity of radar application scenarios, the ideal design conditions cannot be met in actual engineering, and the detection performance of CFAR is seriously degraded.

Therefore, for multiple targets, the biggest challenge is the detection problem in a complex background. How to adaptively select the detection threshold in this background and improve the anti-jamming ability of the detector has become an important goal in the field of radar research.

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