Quick beamforming method capable of improving array resolution and gain

Abstract

The invention provides a quick beamforming method capable of improving array resolution and gain, comprising the following steps: adopting the construction of a minimum redundant array to optimize an M-element uniform linear array into a P-element non-uniform linear array; carrying out FFT processing on primitive data of a P-element array; in a frequency domain, constructing a covariance matrix of data based on the uniform linear array in accordance with the array aperture extension characteristics of fourth-order cumulants; carrying out normalization processing on the beam space and carrying out estimation on a Bartlett spatial spectrum. By adopting the array aperture extension characteristics of the fourth-order cumulants, the invention realizes that the optimized element layout form is employed to obtain high resolution and overcomes the defects of high requirements of the original fourth-order cumulant-based methods on snapshots and great computational complexity to enable the computation process to be simple and easy to operate. When the signal to noise ratio is higher than the supercritical signal to noise ratio, the method of the invention has higher array gain than that of conventional beamforming. The normalization processing of the beam space realizes effective inhibition to background interference. The beamforming method of the invention is simple and easy to operate and is especially suitable for project application.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This patented technology uses an improved way called sparse matrix (SM) technique or its variants to improve image quality while reducing computation time compared with traditional methods like beamformer techniques. By optimizing certain elements within each element group based upon their properties, this can achieve better results without requiring more resources at all times. Overall, these technical improvements lead to faster processing speeds and increased accuracy in imaging systems.

Problems solved by technology

This patented technical problem addressed in this patents relates to achieving better accuracy in detecting objects while reducing impact caused by external factors like background clutter or sea bottom soundings. Current methods require many snapshot measurements and may result in reduced frame rate due to increased hardware costs. An improved solution needs to combine smaller calculations into larger ones instead of requiring multiple snapshot operations at once. Additionally, current techniques use complex matrices to calculate the waveforms, making them less efficient when dealing with fast speeds.

Images