基于自適應壓縮感知的信道估計與窄帶干擾檢測算法研究
[Abstract]:Orthogonal Frequency Division Multiplexing (OFDM) has been widely used in the field of mobile communication due to its high bandwidth efficiency and strong resistance to frequency selective fading. It has become one of the core technologies of the fourth generation communication system. However, OFDM still faces many technical problems. It is well known that according to Nyquist's sampling law, the processing of digital signal in OFDM system requires a very high sampling rate. However, the current front-end analog-to-digital converter (ADC) is difficult to meet its requirements. Therefore, we urgently need to find a new method to solve the problem of digital signal processing in OFDM system. In recent years, the theory of compression perception provides an effective solution to this problem. It can simultaneously sample and compress signals, and then recover the original signal accurately from a small amount of information by a specific reconstruction algorithm. It can greatly reduce the sampling rate and hardware cost of the communication system. Firstly, in order to improve the performance of OFDM communication system, based on the in-depth analysis of the channel characteristics of OFDM communication system, combined with the characteristics of OFDM system channel estimation technology, A windowed adaptive matching tracking algorithm is applied to the channel estimation of communication systems. The leakage of impulse response caused by channel truncation is suppressed and the noise caused by the leakage of impulse response is effectively eliminated. The sparsity of the channel is ensured, and the observation matrix based on the window function is further constructed, and then the adaptive matching tracking algorithm is applied to the channel recovery. Under the condition of unknown channel sparsity, the proposed algorithm can reasonably adjust the number of atoms in the candidate set by adaptive step size, and then estimate the impulse response of the channel accurately. The simulation results show that the proposed algorithm can further improve the performance of channel estimation compared with the current channel estimation algorithm and has good practical application and popularization value. Secondly, aiming at the existing problems of narrowband interference detection in OFDM systems, this paper deeply studies the theory of compression sensing and its reconstruction algorithm. An adaptive matching tracking algorithm based on adaptive compression sensing theory is used to solve the problem of narrowband interference detection in communication systems. This method can be used to detect narrowband interference when the sparse degree of narrowband interference is unknown. By selecting the appropriate compensation to automatically adjust the number of atoms in the candidate set, the detection of single and multiple narrowband interference signals can be realized quickly under the Nyquist sampling rate. The simulation results show that compared with the existing interference detection algorithms, the proposed algorithm can effectively realize narrowband interference detection and run faster, and improve the performance of OFDM communication system effectively.
【學位授予單位】:哈爾濱工程大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TN929.53
【參考文獻】
相關(guān)期刊論文 前10條
1 葉新榮;朱衛(wèi)平;孟慶民;;MIMO-OFDM系統(tǒng)基于壓縮感知的稀疏信道估計[J];應用科學學報;2013年03期
2 楊贊;趙輝;趙玉萍;;基于循環(huán)平穩(wěn)性的異構(gòu)網(wǎng)OFDM系統(tǒng)窄帶干擾消除[J];電子與信息學報;2012年09期
3 葉新榮;朱衛(wèi)平;孟慶民;;基于SAMP重構(gòu)算法的OFDM系統(tǒng)稀疏信道估計方法[J];信號處理;2012年03期
4 程國兵;肖麗霞;肖悅;李少謙;;一種改進的OFDM/OQAM系統(tǒng)信道估計算法[J];電子與信息學報;2012年02期
5 劉記紅;徐少坤;高勛章;黎湘;莊釗文;;壓縮感知雷達成像技術(shù)綜述[J];信號處理;2011年02期
6 何雪云;宋榮方;周克琴;;基于壓縮感知的OFDM系統(tǒng)稀疏信道估計新方法研究[J];南京郵電大學學報(自然科學版);2010年02期
7 郭東亮;張鐵軍;戴憲華;;基于信號延拓的采樣信號頻譜泄漏抑制[J];儀器儀表學報;2010年03期
8 張先玉;劉郁林;王開;;超寬帶通信壓縮感知信道估計與信號檢測方法[J];西安交通大學學報;2010年02期
9 趙團結(jié);李永善;凌向東;李賀;;OFDM技術(shù)及其在短波通信中的應用[J];兵工自動化;2009年10期
10 石光明;劉丹華;高大化;劉哲;林杰;王良君;;壓縮感知理論及其研究進展[J];電子學報;2009年05期
相關(guān)碩士學位論文 前6條
1 彭鈺;OFDM系統(tǒng)中基于壓縮感知的稀疏信道估計算法研究[D];南京郵電大學;2013年
2 高睿;基于壓縮傳感的匹配追蹤重建算法研究[D];北京交通大學;2009年
3 閆歡;基于IEEE802.16e標準的OFDM信道估計技術(shù)研究與實現(xiàn)[D];西安電子科技大學;2008年
4 黃勇;通信對抗中通信偵察與跳頻OFDM抗干擾技術(shù)研究[D];西南交通大學;2007年
5 陳明;擴頻通信系統(tǒng)窄帶干擾陷波抑制技術(shù)研究[D];西南交通大學;2006年
6 韓良冬;OFDM無線傳輸中的相位噪聲補償技術(shù)[D];西安電子科技大學;2006年
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