Two-dimensional dynamic direction finding method for continuous quantum water evaporation in impact noise environment

Abstract

The invention discloses a two-dimensional dynamic direction finding method for continuous quantum water evaporation in an impact noise environment, and belongs to the field of array signal processing.According to the method, a circular array infinite norm maximum likelihood equation designed according to a uniform circular array azimuth angle and a pitch angle two-dimensional dynamic direction finding problem is solved in a search region by utilizing a continuous quantum water evaporation calculation method, and the calculation amount is reduced by gradually narrowing the search interval; meanwhile, according to a water evaporation calculation method designed according to the quantum coding and the simulated quantum evolutionary equation, the convergence speed of the algorithm can be accelerated, the optimal two-dimensional wave arrival direction is quickly obtained, and the tracking precision of the dynamic wave direction in an impact noise environment is improved. According to the method, the searching speed is high, and the non-coherent signal source dynamic estimation in the two-dimensional arrival direction can be achieved, and the dynamic estimation of the coherent information source in the two-dimensional wave arrival direction can be realized, so that the method not only is suitable for a gaussian noise environment but also can be applied to an impact noise environment, and is wide in application prospect.

Description

technical field [0001] The invention belongs to the field of array signal processing, and in particular relates to a two-dimensional dynamic direction finding method for continuous quantum water evaporation in an impact noise environment. Background technique [0002] Direction finding, also known as spatial spectrum estimation or direction-of-arrival estimation, is an important research field of array signal processing and has a wide range of applications in satellite and mobile communication systems, radar, and seismology. The direction of arrival is Direction of Arrival in English, so the direction of arrival estimation is referred to as DOA estimation. Traditional DOA estimation is often aimed at fixed sources. However, in actual situations, the angle of the source changes at any time, and the noise in signal transmission does not obey the Gaussian distribution, such as sea clutter noise, atmospheric noise and other impacts. These noises can be modeled by Alpha stable d...

AI Technical Summary

Problems solved by technology

The real-time dynamic direction finding method is mostly used in the research direction of one-dimensional direction finding of azimuth angle, but has not been applied to the research direction of two-dimensional direction finding of azimuth angle and elevation angle.

[0004] In addition, the existing literature also shows that most of the two-dimensional direction finding methods based on the uniform circular array use the direction finding method based on the subspace. Decoherence processing is required, and the steps are cumbersome

The present invention designs a dynamic direction finding method based on maximum likelihood. This method not only has superior DOA estimation performance in the case of low signal-to-noise ratio, small number of snapshots and coherent sources, but also can directly process array data. The covariance matrix avoids the problem of continuous covariance matrix decomposition of the subspace direction finding method. However, one of the main disadvantages of the maximum likelihood method is that it involves a multi-dimensional nonlinear optimization problem, which requires a huge amount of calculation and takes a long time.

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