High-speed Parallel FPGA Implementation of Dimensionality Reduction Long Vector MUSIC Algorithms
In order to solve the problem that directly embedded FPGA will consume lots of hardware resources and overlong computing time to achieve angle measurement through polarization dimensionality reduction multi-ple signal classification(dimensionality reduction long vector multiple signal classification,DRLV-MUSIC)al-gorithm,an FPGA implementation structure of parallel calculation of eigenvalues and eigenvectors was pro-posed.Otherwise parallel matrix operation method was proposed to shorten the calculation time of FPGA by u-sing the repeatability of mutability.The FPGA scheme was comprised of a preprocessing module,a covariance matrix calculation module,a parallel Jacobi algorithm computing eigenvalue module and a parallel eigenvector compu-ting module.Experimental results showed that the scheme reduced the calculation time and hardware resources while ensuring the angular measurement accuracy compared with the non-parallel DRLV-MUSIC algorithm.
万方数据
维普
