FPGA (field programmable gate array) based DOA (direction of arrival) estimation fast-implementing method

Abstract

The invention discloses an FPGA (field programmable gate array) based DOA (direction of arrival) estimation fast-implementing method. The FPGA based DOA estimation fast-implementing method includes building a central symmetrical array on the basis of virtual array expansion, mapping the algorithm processing from the complex field to the real number field on the basis of preprocessed unitary transformation, calculating covariance matrix on the basis of the FPGA, implementing eigenvalue decomposition on the basis of the FPGA, and performing one-dimensional spatial spectrum search under constraint of threshold on the basis of the FPGA. The FPGA based DOA estimation fast-implementing method with simple conception and low calculation amount has stable performance and high portability, has no limit to antenna type and has wide application range, and helps to implement rapid response function of the DOA on the premise of keeping DOA estimation performance constant; the signal processing is completed within the real number field and only needs add and subtract and shifting of the FPGA.

Description

technical field [0001] The invention relates to a fast realization method of DOA estimation based on FPGA, which belongs to the field of array signal processing. Background technique [0002] Direction of Arrival (DOA) estimation is an important content in array signal processing. In recent decades, it has been a hot and difficult point in the research and implementation of array information processing, and it is widely used in radar, sonar, mobile communication, etc. and electronic countermeasures and many other fields. The traditional DOA estimation method is mainly based on beamforming and interference cancellation technology, which has low resolution and is limited by the number of array elements and array aperture, that is, there is the so-called "Rayleigh limit". [0003] At present, the landmark algorithm in the theoretical system of spatial spectrum estimation is Schmidt's multiple signal classification algorithm (Multiple Signal Classification, MUSIC). Its basic id...

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Problems solved by technology

[0003] At present, the landmark algorithm in the theoretical system of spatial spectrum estimation is Schmidt's multiple signal classification algorithm (Multiple Signal Classification, MUSIC). Its basic idea is to construct mutually orthogonal signal subspaces and noise subspaces based on feature decomposition. The super-resolution estimation of DOA is achieved by using the maximum value points of the DOA, which breaks through the "Rayleigh limit", and has the characteristics of high estimation accuracy and high resolution; the MUSIC algorithm needs to perform feature decomposition and construct a complex spatial spectrum, which brings huge Computational complexity, slow operation speed, unable to achieve online real-time processing

With further in-depth research, people have proposed a large number of fast spatial spectrum estimation algorithms from the perspective of reducing the complexity of the algorithm and reducing the amount of calculation of the algorithm. These algorithms not only improve the response speed of DOA estimation, but also deteriorate the DOA estimated performance

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