Beamforming Pre-Processors for High Discrimination Algorithms.

摘要

High discrimination algorithms based on numerical techniques such as eigen analysis are currently being considered for use in future antenna array systems. In addition to being computationally expensive, such algorithms are only able to achieve significantly enhanced within-beam resolution at high signal to noise ratios. However, if the detected signals are found only within a limited frequency range of region of space, or if the data is oversampled, a pre-processing transform may be applied to the data. This leads to a reduction in the size of the data matrix, enables subsequent processing to be accelerated, and lowers the threshold signal to noise ratio required for within-beam resolution. In the spatial domain, the pre-processor is a beamformer. A previous memo has shown how this may be designed using singular vectors of the array calibration matrix. In the current document it is demonstrated by Monte Carlo trials that similar results may be obtained using a conventional beamformer. Great Britain. (RRH)