基于FPGA的数字脉冲压缩硬件优化实现

Noor ul Azim, Wang Jun
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引用次数: 4

摘要

对于任何雷达系统,基于FPGA的数字信号处理部分的实现都是一项重要的技术。提出了一种基于FPGA的LFM雷达信号数字脉冲压缩算法的实现方法。脉冲压缩是在不影响雷达系统远程探测性能的前提下,利用匹配滤波技术对频谱进行扩展,以提高距离分辨率。对于LFM信号,采用快速卷积处理技术,利用单个FFT IP核实现数字脉冲压缩算法,实现FFT和IFFT运算。该算法减少了卷积中复杂乘法的次数,并减少了一个FFT IP核,使算法更加优化,这是本文的重点任务。首先在MATLAB中对该算法进行仿真,然后利用Xilinx FPGA和Xilinx ISE Design工具在硬件上实现该算法。选择的FPGA为Virtex-5 (XUPV5-LX110T)。硬件实现采用流水线优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware optimized implementation of digital pulse compression based on FPGA
for any radar system, the implementation of digital signal processing part based on FPGA is an important technology. This paper presents the FPGA based implementation of digital pulse compression algorithm for an LFM radar signal. Pulse compression is the expansion of frequency spectrum using matched filtering technique to improve the range resolution without affecting the long range detection performance of the radar system. For an LFM signal, fast convolution processing technique is used to implement the digital pulse compression algorithm using single FFT IP core both for FFT and IFFT operations. This algorithm reduces the number of complex multiplication in convolution and also reduces one FFT IP core to make the algorithm more optimized which is the focusing task of this article. Firstly, this algorithm is simulated in MATLAB and after that it is implemented on hardware using Xilinx FPGA and Xilinx ISE Design tool. Chosen FPGA is Virtex-5 (XUPV5-LX110T). For hardware implementation pipeline optimization is adopted during the implementation.
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