Monostatic MIMO radar direction finding method for quantum explosion

Abstract

The invention provides a monostatic MIMO (Multi-Input Multi-Output) radar direction finding method for quantum explosion. The method comprises the steps of (1) establishing a transceiving co-located narrowband monostatic MIMO radar system direction finding model; (2) determining all quantum fragments in a quantum explosion algorithm, and uniformly allocating the quantum fragments to two subsets; (3) calculating the adaptability of each quantum fragment, and determining the initial optimal quantum position of the first quantum fragment set, and the initial optimal solution quantum centroid and uniform solution quantum centroid of the second quantum fragment set; (4) updating the quantum position of each quantum fragment; (5) mapping the quantum position of each quantum fragment to the position of a defined interval, and calculating the adaptability value; (6) updating a global optimal quantum position; and (7) outputting the global optimal quantum position, and mapping the global optimal quantum position to the wave arrival direction to be estimated. The method can realize fast and high-precision direction finding under the complex environment of impulse noise and the like, and has excellent direction finding performance.

Description

technical field [0001] The invention relates to a direction finding method for a monostatic MIMO radar. Background technique [0002] Multi-Input Multi-Output (MIMO) radar is a new radar system. MIMO radar can greatly improve the anti-jamming ability of radar system by transmitting mutually orthogonal low-gain wide beams in space. Another important advantage of MIMO radar is that since its transmitting beam is fixed and does not need to scan the space, the time for the same target within the beam range to be illuminated is greatly increased, which provides enough time for long-term coherent accumulation Assure. MIMO radar draws lessons from the multiple-input multiple-output technology in the communication system, has many advantages, and has become a research hotspot today. Because of its virtual expansion capability, monostatic MIMO radar can obtain a larger virtual aperture than traditional phased array radar, and has obvious performance advantages in direction finding....

AI Technical Summary

Problems solved by technology

[0003] After searching the existing technical literature, it was found that "Direction of Arrival Estimation for Monostatic MIMO RadarUsing Reduced-Dimension RISR Algorithm” proposed a single-static MIMO radar direction finding method based on dimensionality reduction RISR algorithm, which can better estimate the direction of arrival, but its direction finding accuracy is not high and the calculation complexity is large

In "Journal of Electronics and Information Technology" (2016, Vol.38, No.1, pp. 80-89), Liang Hao et al. published "DOA Estimation Based on ESPRIT Algorithm for Cross Array MIMO Radar Dimensionality Reduction" and proposed a method based on ESPRIT The dimensionality reduction DOA estimation algorithm of the algorithm, the method converts the high-dimensional echo data into the low-dimensional signal space through the design of the dimensionality reduction matrix and the dimensionality reduction transformation of the echo data, and removes all redundant data to the greatest extent. The direction finding performance is good in the Gaussian noise background, but the direction finding performance deteriorates seriously in the complex background such as impact noise

The existing literature shows that the current research on the direction finding method of monostatic MIMO radar has low direction finding accuracy and high computational complexity, and most of the existing monostatic MIMO radar direction finding methods are suitable for direction finding in the background of Gaussian noise. The performance of the direction finding method deteriorates seriously in complex environments such as noise

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