Composite weighted time-frequency direction finding method based on quantum dot mechanism

Abstract

The invention provides a composite weighted time-frequency direction finding method based on a quantum dot dog mechanism. A composite weighted time-frequency direction finding method with higher robustness is designed; through the composite weighting of snapshot sampling data and a time-frequency distribution matrix, impact noise is well suppressed. Meanwhile, direction finding can be carried outin a Gaussian noise environment; and the advantages of a time-frequency maximum likelihood direction finding method are utilized, the gain of an expected signal is improved, a related signal source can be distinguished, a relatively accurate direction finding result can still be obtained when relatively strong interference such as atmospheric noise, ground clutter, radar scattering echo and artificial noise exists in a working environment of a receiver, and the designed scheme is more suitable for engineering practice. According to the method, the priori knowledge of noise and additional parameter selection are not needed, robustness is achieved in a strong interference environment, the quantum dot dog mechanism is designed for efficient solution, and the application limitation of an existing direction finding method is broken.

Description

technical field [0001] The invention relates to a compound weighted time-frequency direction finding method in an impact noise environment, in particular to a compound weighted time-frequency direction finding method based on a quantum Dalmatian mechanism, and belongs to the field of array signal processing. Background technique [0002] Direction finding is a key technology in the field of array signal processing, widely used in communication, navigation and electronic countermeasures and other fields. In practical applications, radar and wireless communication systems are faced with increasingly complex electromagnetic environments, which put forward higher requirements for the signal processing capabilities of their receivers. Practical direction finding methods in jamming environments are of great significance and value. [0003] The time-frequency direction finding method uses the specific characteristics of the signal energy density changing with time and frequency to...

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Problems solved by technology

[0003] The time-frequency direction finding method uses the specific characteristics of the signal energy density changing with time and frequency to suppress noise, and the direction finding accuracy is high in the case of low signal-to-noise ratio. The performance deteriorates seriously. Simply combining the existing anti-shock method with the time-frequency direction finding method cannot effectively solve the problem of direction finding in harsh noise environments. Therefore, it is necessary to design a direction finding with robustness in strong interference environments. method

[0004] Using the maximum likelihood principle for time-frequency direction finding can obtain the theoretically optimal performance and can distinguish coherent sources. However, it is necessary to search for the global maximum value for multi-dimensional nonlinear optimization problems. How to obtain the search results quickly and accurately is The bottleneck problem of the application of the maximum likelihood direction finding method is a potential solution using an intelligent optimization algorithm, but the existing intelligent optimization algorithm has defects to varying degrees, such as slow convergence speed, easy to fall into local Extreme values, etc., so it is necessary to design a new and efficient solution method for specific problems

[0005] Through the retrieval of prior art literature, it was found that Wang Haibin et al. published "Spatial-Time-Frequency DOA Estimation under α-Stable Distributed Noise" in "Computer Engineering" (2012,38(02):284-287), using fractional Time-frequency direction finding with low-order moments, this method shows a certain robustness in the impact noise environment, but requires prior knowledge of the noise, and is greatly affected by parameter selection; He Jin et al. in the Journal of Electronics and Information Technology (2006(05):875-878) published "DOA Estimation Algorithm Based on Screened Ratio Principle in Impulse Noise Environment", reconstructed the correlation matrix of the array signal, and used the MUSIC algorithm to realize direction finding, which can suppress the impact noise, However, the coherent source cannot be distinguished and the direction finding results have quantization errors

[0006] The search results of the existing literature show that the existing direction finding methods have a narrow scope of application, high computational complexity, and poor robustness. There is a lack of a fast and accurate method in the strong interference environment with low signal-to-noise ratio and impact noise. Therefore, a direction finding method in a strong interference environment is proposed. Specifically, a composite weighted time-frequency direction finding method is used, and the direction finding result is quickly obtained through the quantum Dalmatians mechanism. The technical problem that the performance deteriorates under the background of strong impact noise and low signal-to-noise ratio and cannot quickly obtain accurate direction finding results

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