Single radio frequency channel spatial spectrum estimation direction finding system and method

Abstract

The invention provides a single radio frequency channel spatial spectrum estimation direction finding system and method. Aiming to solve the problem of radio direction finding in wireless communication, radar, navigation and radio spectrum management, the method comprises the steps: employing a plurality of antenna units and a single radio frequency channel for achieving the super-resolution spatial spectrum estimation direction finding; periodically modulating the radio signal received on each antenna unit; combining the signals into a radio frequency signal by using a power combiner, performing down-conversion and analog-to-digital conversion, and performing spectral analysis on the radio frequency signal in a digital domain; constructing an autocorrelation matrix of the signal by usinga fundamental component and a harmonic component generated by periodic modulation, and estimating an incoming wave direction by using a multi-signal classification or rotation invariant subspace algorithm and the like. The complexity and cost of an existing spatial spectrum estimation direction finding system can be remarkably reduced, and the method is particularly suitable for a low-cost and high-precision radio direction finding system.

Description

technical field [0001] The present invention relates to the technical field of radio engineering, in particular to a system and method for spatial spectrum estimation and direction finding using a single radio frequency channel. Background technique [0002] The traditional spatial spectrum estimation direction finding system has multiple radio frequency channels, and needs to perform low noise amplification, frequency down conversion, low pass filtering, drive amplification and analog-to-digital conversion on the signal received by each radio frequency channel. In the digital domain, the signals received on each unit channel are used to calculate the autocorrelation matrix of the signal, and then the eigendecomposition of the autocorrelation matrix is ​​performed to estimate the incident direction of the signal. In order to obtain better direction finding accuracy, the array size is usually larger. Correspondingly, the complexity and cost of the traditional spatial spectru...

AI Technical Summary

Problems solved by technology

Correspondingly, the complexity and cost of traditional spatial spectrum estimation and direction finding systems are relatively high

In addition, since the amplitude and phase of each radio frequency channel are inconsistent, in order to ensure the direction finding performance, it is usually necessary to design a complex calibration algorithm to calibrate it

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