A method and system for adaptive beamforming based on dynamic recorrection

Abstract

The invention discloses an adaptive wave beam formation method and an adaptive wave beam formation system. An actual input vector covariance matrix is dynamically evaluated according to cooperation communication between reception equipment and a sampling covariance matrix, a dispersion situation of characteristic values is minimized; performance of an adaptive wave beam is improved, influence of environment interference change on signal reception is reduced, and wave beam formation accuracy and wave beam formation robustness are improved. The method comprises steps that, 1), a sample is acquired through receiving end array elements, a covariance matrix of the sample data is calculated and is taken as an estimate of an interference noise addition covariance matrix; 2), an error matrix of the covariance matrix is constructed according to a reference signal sent by cooperation equipment and a pre-stored reference signal of the equipment; 3), the covariance matrix of the sample data acquired in the step 1) is dynamically adjusted by the error matrix acquired in the step 2), and the improved sample covariance matrix is acquired; 4), a diagonal loading coefficient is determined; and 5), weight vector solution is carried out by employing an IQRD-SMI algorithm based on LCMV, and adaptive wave beams are generated.

Description

technical field [0001] The invention relates to the field of underwater acoustic imaging, in particular to an adaptive beamforming method and system based on dynamic recorrection. Background technique [0002] Underwater acoustic imaging technology has been widely used in national defense and civilian fields. It is mainly used in many military and civilian fields such as underwater target detection and search, underwater landform mapping, and submarine sunken ship salvage. Acoustic imaging uses a transducer to actively emit sound waves, receives echo data through a hydrophone array, and uses signal processing methods to form an image of a target on a two-dimensional plane. Due to different applications, the technical requirements, indicators and methods of various imaging are not the same. Such as digital multi-beam imaging, synthetic aperture imaging technology, time-reversal imaging technology and high-resolution imaging technology. [0003] In order to achieve real-time...

AI Technical Summary

Problems solved by technology

Due to the complexity of the underwater environment, the loss of sound propagation and absorption, and the limitations of the actual system, beamforming has certain errors and interference, and there are many uncertainties in array signal processing, such as array installation errors, estimated sample covariance Matrix error, pointing error, etc.

Images