Beam forming method and system for optimizing main and side lobe ratio

Abstract

The invention discloses a beam forming method and system for optimizing a main-side lobe ratio. The beam forming method for optimizing the main-side lobe ratio comprises the following steps: calculating a steering vector a0 of a desired signal according to an incident azimuth angle and a pitch angle of the desired signal; according to the configured azimuth angle step kappa and pitch angle step eta, the initial angle [phi]s and the termination angle [phi]e of azimuth scanning, and the initial angle [theta]s and the termination angle [theta]e of pitch scanning, determining the total number K of times in the azimuth scanning space and the total number L of times in the pitch scanning space; calculating a matrix R1 ([theta]s, [phi]s) based on the number of the sensors in the sensor matrix, the working wavelength of the sensor array and the coordinate difference of each sensor: calculating a beam synthesis graph p (theta, phi) = wHa (theta, phi) of the optimal main and side lobe ratio based on the weighting coefficient w, wherein a (theta, phi) is a steering vector of the sensor array corresponding to the pitch angle theta and the azimuth angle phi. According to the method, the array weighting coefficient is calculated under the constraint condition of the incident azimuth angle and the pitch angle of the expected signal, so the sensor array beam pattern with the optimal main and side lobe ratio is formed.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a beam forming method and system for optimizing the main-side lobe ratio. Background technique [0002] In modern signal transmission systems such as radar, sonar, AM / FM, satellite broadcasting, cellular phone, GPS and wireless local area network, there are four kinds of diversity techniques used to improve signal quality and reduce interference: time diversity, frequency diversity, code Meta-diversity and space diversity. Spatial diversity is achieved by using the geometry of multiple sensors (such as antennas) in an array. The physical design of the array can form a beam of specific orientation, so that no energy is radiated / received in a specific angle range in space, and the radiation / reception of the maximum energy is achieved at a specified angle, which is the so-called array beamforming. [0003] Since World War II, the design of antenna arrays has been ex...

AI Technical Summary

Problems solved by technology

In most static beamforming, the optimal main-side lobe ratio is an ideal criterion that engineers continue to pursue. At present, the main optimization methods include conventional amplitude weighting (such as Taylor weight, Hamming weight, etc.), genetic algorithm, particle swarm algorithm, cuckoo Bird search algorithm, etc. Although these existing algorithms can obtain lower sidelobe levels, they cannot theoretically prove that the main-sidelobe ratio of the synthetic beam pattern is optimal

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