Radar target detection method combined with time domain and spatial domain on basis of feed network

Abstract

The invention discloses a radar target detection method combined with a time domain and a spatial domain on basis of a feed network. The method comprises the following steps: utilizing the time characteristic of the feed network to explore a general orientation of a target point in the space; using the time signal to acquire a coarse position of the target point position; focusing on the antenna signal; and acquiring specific position information of the target point by using the phase relation between the received signals and a subspace decomposition algorithm. According to the radar target detection method combined with a time domain and a spatial domain on basis of a feed network in the invention, a bulter feed network is used for achieving beam scanning at the time domain stage; compared with one beam, the beamforming detection distance is further away in a fixed specific direction; the spatial domain stage scanned by using the algorithm is realized by using an algorithm; more target points can be positioned within an angle range; and the target point information can be identified more accurately.

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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