High-speed Realization Of The Spatial Spectrum Estimation Algorithm

Array processing technique has exhibited its brilliant future by its unique merits in recent years. Spatial spectrum estimation technique, a branch of array processing technique, has been developing in past 40 years. Lots of good methods and algorithm have been brought forward, and the MUSIC algorithm is one of them. The MUSIC algorithm, as a typical direction-of-arrival(DOA) estimation algorithm, is a subspace-based method with many excellent performances. It can find many applications, such as mobile communication, electronic reconnaissance, parameter estimation, signal discrimination, etc. Nevertheless, it needs huge quantity of computation, which baffles its further application. Therefore, it is very necessary to study its high-speed implement methods. This dissertation studies the high-speed way to apply MUSIC algorithm in an eight-sensor uniform circular array (UCA) system.The main contents of this dissertation are as below:1. A preprocess method are studied. Using this method, MUSIC algorithm's computational complexity can be reduced greatly. 2. Researches the steps of MUSIC algorithms, and then introduced the parallel process methods for each steps.3. Studies the hardware design plan to implement MUSIC algorithm, which combines DSP implementation and FPGA implementation as well as fixed-point implementation and float-point implementation.4. Introduces two plans, which are serial process plan and parallel process plan, to implement correlation matrix computation. Both of plans' system model and behavior simulation are completed by using Cadence company's SPW/HDS development software, RTL simulation and logic synthesis are accomplished by using Synplify and Quartus in PC.5. Studies the methods of transfer data from fixed-point format to IEEE754 single precision floating-point format, and implement it in FPGA...