基于CORDIC的FFT處理器設(shè)計(jì)及驗(yàn)證
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[Abstract]:Beamforming is an important step in the process of array signal processing. The maximum beam output pointing to a certain direction is obtained by linear combination of the received array data. The performance of beamformer plays a key role in the positioning accuracy, processing ability and anti-interference ability of Sonar, radar and other systems. In this paper, according to the functional characteristics of FFT processor, which is the key component of beamformer in imaging Sonar system, the FFT algorithm flow is deeply analyzed, the CORDIC algorithm is introduced to simplify the complex multiplication operation, and the FFT processor is designed and implemented based on FPGA platform. Through time sequence simulation and hardware test, the running speed reaches 90MHz, the processing speed is fast and the operation precision is high, which meets the requirements of imaging Sonar system. In this paper, the basic principle and flow chart of CORDIC algorithm and base 2, base 4 time domain FFT algorithm are analyzed. Combining CORDIC algorithm with base 4 time domain FFT algorithm, a FFT processor based on CORDIC is designed and implemented by using pipeline technology. The FFT processor uses 5-level butterfly algorithm, and the pipeline structure is formed between the butterfly algorithms at all levels, which can complete the FFT operation of 1024 points. In order to meet the reliability requirements of imaging Sonar system, the functional verification technology based on VMM is applied to build a hierarchical, reusable and automatic functional verification platform. The designed FFT processor is verified by a more complete function, and the system-level verification of FFT processor is completed. The code line coverage is 100%, the conditional coverage is 96.34%, the state machine coverage is 100%, and the comprehensive score is 97. 67%. The reliability of FFT processor is improved.
【學(xué)位授予單位】:哈爾濱工程大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TP332
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 石晶林,韓月秋;面向VLSI實(shí)現(xiàn)三角函數(shù)求解算法[J];北京理工大學(xué)學(xué)報(bào);1999年06期
2 甘露,吳國(guó)綱,徐政五,楊蕓霞,陳曉旭;改進(jìn)型MVR-CORDIC算法研究[J];電子科技大學(xué)學(xué)報(bào);2004年05期
3 閻嘯;秦開(kāi)宇;高援開(kāi);吳紹煒;;基于CORDIC算法的頻譜分析技術(shù)研究[J];電子科技大學(xué)學(xué)報(bào);2006年03期
4 李滔,韓月秋;基于流水線CORDIC算法的三角函數(shù)發(fā)生器[J];電子技術(shù)應(yīng)用;1999年06期
5 張曉彤;辛茹;王沁;李涵;;基于改進(jìn)混合式CORDIC算法的直接數(shù)字頻率合成器設(shè)計(jì)[J];電子學(xué)報(bào);2008年06期
6 張珩;沈海華;;龍芯2號(hào)微處理器的功能驗(yàn)證[J];計(jì)算機(jī)研究與發(fā)展;2006年06期
7 牟勝梅;楊曉東;;擴(kuò)展因子預(yù)編碼的兩階段CORDIC旋轉(zhuǎn)算法2S-PCS[J];計(jì)算機(jī)學(xué)報(bào);2011年04期
8 江龍;馬琪;;基于事務(wù)的功能驗(yàn)證方法及其在設(shè)計(jì)驗(yàn)證中的運(yùn)用[J];計(jì)算機(jī)與現(xiàn)代化;2008年10期
9 韓芳,初建朋,賴宗聲;一種CORDIC算法的精度分析及其在FFT設(shè)計(jì)中的應(yīng)用[J];微電子學(xué)與計(jì)算機(jī);2004年07期
10 羅春,楊軍,凌明;基于遺傳算法和覆蓋率驅(qū)動(dòng)的功能驗(yàn)證向量自動(dòng)生成算法[J];應(yīng)用科學(xué)學(xué)報(bào);2005年04期
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