Radar Target Detection Method Based on Feed Network Combination of Time Domain and Space Domain

Abstract

The invention discloses a radar target detection method based on the combination of time domain and space domain of the feeding network. The method includes: using the time characteristics of the feeding network to explore the general orientation of the target point in space, and obtaining the target point by using the time signal Rough location, focusing on the antenna signal, using the phase relationship between the received signals and using the subspace decomposition algorithm to obtain the specific location information of the target point. The present invention uses the bulter feed network to realize beam scanning in the time domain stage. Compared with one beam, the beamforming detection distance is farther in a fixed specific direction; the spatial domain stage of algorithm scanning is realized by using algorithms, which can be more positioned and more precise within an angle range. More target points, more accurate identification of target point information.

Description

technical field [0001] The field of radar target detection of the present invention, in particular, relates to a radar target detection method based on the combination of time domain and space domain of a feeding network. Background technique [0002] Self-driving vehicles (Autonomous vehicles; Self-piloting automobile), also known as unmanned vehicles, computer-driven vehicles, or wheeled mobile robots, are intelligent vehicles that realize unmanned driving through computer systems. It has a history of several decades in the 20th century, and it has shown a trend close to practicality in the early 21st century. Although the current self-driving vehicles have not yet reached the level of fully autonomous driving, self-driving vehicles will become the mainstream development direction of future vehicles, as this point of view has been widely recognized in the industry. At present, the development of unmanned driving technology has made great progress, but it is still in the e...

AI Technical Summary

Problems solved by technology

However, these two algorithms have their own shortcomings: in the target recognition of the time domain, a large number of antennas and feed networks are needed as the basis to accurately locate the target point; the target recognition of the algorithm in the space domain is due to the The coverage is relatively large, because it is difficult to achieve long-distance detection

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