FPGA implementation of music for a direction finding system

Multiple signal classification (MUSIC) is a computationally complex algorithm that is hard to implement for real-time applications. First, for the case of uniform circular array (UCA), the preprocessing algorithm making the following computations in real-value is presented and a practical spatial spectrum is defined. The algorithms for eigenvalue decomposition (EVD) and sorting suitable for hardware implementations are selected as well. Then the overall architecture and operation flow of a FPGA implementation of MUSIC on a direction finding (DF) system are proposed and the specific hardware architectures for the EVD of large matrices and the computation of spatial spectrum are discussed. Verification results show that this implementation with FPGA can compute MUSIC accurately with high speed.