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机构地区:[1]南京理工大学近程高速目标探测技术国防重点实验室,江苏南京210094
出 处:《电子技术应用》2012年第6期82-84,88,共4页Application of Electronic Technique
摘 要:根据带门限的序列Jacobi方法,提出了一种实时获取目标最佳极化的FPGA实现方法。该方法精简了对待求矩阵最大非对角元素的搜索过程,并在FPGA中采用并行结构的运算模块设计,优化了有限状态机(FSM)的执行时序,从而避免了CORDIC算法繁琐的迭代过程,减少了程序运行时间。FPGA实现结果表明,该方法的执行速度比CORDIC算法至少提高了21%,具有较高的实时性。An FPGA implementation is proposed for obtaining optimal polarization of radar targets in real-time processing ap- plications, according to serial Jacobi method with threshold. The process of searching the maximum off-diagonal element of the un- known matrix is reduced. The arithmetic modules are designed in a parallel architecture in the FPGA implementation, and the time sequence of the finite state machine (FSM) is optimized for a higher execution speed. So the complicated iterations of CORDIC al- gorithm can be avoided, and the execution time is reduced. Compared with CORDIC algorithm, the FPGA implementation results show that the execution speed is improved by at least 21%, and a real-time processing ability is provided.
分 类 号:TN95[电子电信—信号与信息处理]
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