DOA estimation algorithm based on Prony method

Abstract

The invention discloses a DOA estimation algorithm based on Prony method. The algorithm is suitable for estimating the target azimuth in radar and sonar systems, and is characterized by comprising the following steps that: step 1, the DOA estimation algorithm measurement equation is obtained; step 2, for the uniform linear array, the Prony method is used directly to solve the measurement equation; step 3, for the uniform circular array, the transformation matrix is constructed, and then the measurement equation is solved by Prony method. The technical scheme of the DOA estimation algorithm based on Prony method realizes the target DOA estimation in measuring a platform of the uniform linear array and the uniform circular array, and the estimator performs well under high signal-to-noise ratio condition, no search is required, and the computational complexity is reduced without the feature decomposition. At the same time, the DOA estimation algorithm can break through the Rayleigh limit of the array, and the resolution is higher; moreover, the decoherent operation is not needed under the condition of coherent source, which provides a new method for DOA estimation algorithm.

Description

technical field [0001] The invention belongs to the field of azimuth estimation algorithms for radar and sonar systems, and relates to an azimuth estimation algorithm based on a Prony method. Background technique [0002] Direction of Arrival (DOA: Direction of Arrival) estimation is one of the key issues in radar and sonar systems, and it has a wide range of applications in the fields of target detection, navigation and positioning, and wireless communication. The earliest DOA estimation algorithm is called Conventional Beamforming (CBF), and the angular resolution of orientation estimation is limited by the Rayleigh limit; then some high-resolution DOA estimation algorithms such as linear prediction algorithm, multiple signal classification algorithm, maximum likelihood Algorithms, rotation invariant subspace algorithms, and compressed sensing algorithms, etc. Most of these algorithms need to search for spectral peaks, or construct characteristic polynomials to solve them ...

AI Technical Summary

Problems solved by technology

In the operation process, some algorithms still have an eigenvalue decomposition process, so the high-resolution algorithm has a large amount of calculation; at the same time, under the condition of coherent information sources, the effect of these DOA estimation algorithms is not very good, and corresponding The decoherence operation further increases the calculation amount of the algorithm

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