Array target angle measurement method based on DFT conversion

Abstract

The invention provides an array target angle measuring method based on DFT conversion, and the method comprises the following steps: 1) establishing a meter wave radar signal receiving model x containing multipath signals; 2) performing Fourier transform processing on radar echoes of all receiving channels, establishing a beam vector S and a diagonal matrix T of the beam vector S, and constructingan equivalent relation by using the S and the T; 3) calculating a frequency vector a and a magnitude vector b after conversion by using the beam vector S and the diagonal matrix T; and 4) substituting the converted frequency vector a into a relational expression to carry out factorization, and solving an estimated value of a target. Compared with the traditional radar array, the array target angle measuring method based on DFT conversion adopts flexible distributed array arrangement, the direction-finding performance of the traditional array with larger aperture can be achieved by only a small amount of array elements, and the direction-finding performance is obviously superior to that of the traditional radar angle measuring method.

Description

technical field [0001] The invention relates to the technical field of radar target angle measurement, in particular to a method for measuring array target angle based on DFT transformation. Background technique [0002] Radar target angle measurement technology is an important research topic in the field of radar signal processing. Traditional high-frequency radar angle measurement generally still uses beamforming technology, but limited by the array aperture, its angle measurement accuracy and resolution are low. In order to improve the direction-finding performance, an angle-measuring method based on modern super-resolution spectrum estimation technology was proposed. However, due to the particularities of the radar system, such as a large number of targets and unknown numbers, and strong coherence of echo signals, the application of such methods is still limited. There are many limitations, such as the need to know the number of targets, and the decoherence interprocess...

AI Technical Summary

Problems solved by technology

In order to improve the direction-finding performance, an angle-measuring method based on modern super-resolution spectrum estimation technology was proposed. However, due to the particularities of the radar system, such as a large number of targets and unknown numbers, and strong coherence of echo signals, the application of such methods is still limited. There are many limitations, such as the need to know the number of targets, and the decoherence interprocessing step when processing coherent signals requires a specific array form, etc.

Although some direction-finding methods with sparse representations that have emerged in recent years can solve the above problems, their limitations are that their performance depends largely on one or more adjustable hyperparameters, which is very difficult in the actual situation of unknown noise variance. Difficult to tune this parameter optimally to obtain satisfactory performance

In addition, in order to further improve the angle measurement performance, the traditional radar array needs more receiving elements to increase the array aperture, but this will lead to harsh site requirements and significantly increase hardware costs

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