Adaptive beamforming method for arc length based virtual antenna array

Abstract

There exists angle sensitivity problem in the interpolated virtual antenna array proposed by Friedlander, the representative method solving this problem is multi transformation areas approach, but via this approach it will bring combined error ulteriorly, furthermore, it is unease to inhibit burst interference. In this paper, we introduce arc length based virtual antenna design method into adaptive beam forming, it allows virtual transformation in the whole array scanning area and moreover, it can suppress burst interference. The validity of our method is verified by computer simulation results.

Using virtual antenna array technology to analyze the electromagnetic environment

“…Reducing the level of side lobes increases the noise immunity of antenna elements, which has a positive effect on the quality of wave measurements. Another advantage of using VAA is the implementation of the beamforming technology [3,4]. When performing such an operation, the beam of the radiation pattern will be directed exactly at the radiation source.…”

Symmetric Extension of Steering Vectors and Beamforming

“…However, it is found that there are two main problems of the interpolated array beamforming: firstly, the interference cannot be suppressed when it falls outside the transform area; besides, when the transform area is too large, there are zero drift and mainlobe offset. In other words, the 'angle-sensitive' exists [6]. Secondly, when the interpolated step is greater than 1 • , the interpolated array cannot achieve beamforming accurately even at a suitable angle range, that is to say, the 'interpolated step-sensitive' exists [6].…”

“…In other words, the 'angle-sensitive' exists [6]. Secondly, when the interpolated step is greater than 1 • , the interpolated array cannot achieve beamforming accurately even at a suitable angle range, that is to say, the 'interpolated step-sensitive' exists [6]. Much improved algorithms have been proposed to solve 'angle-sensitivity' [7][8][9][10], but most of them are done by sacrificing computational complexity.…”