卷積碼盲識別算法研究
發(fā)布時間:2019-03-20 08:13
【摘要】:在通信領(lǐng)域中,為了保證信息傳輸?shù)馁|(zhì)量,克服噪聲的干擾,引入了信道編碼技術(shù),既保證了信息傳輸?shù)挠行?又保證了信息傳輸?shù)目煽啃。使用編碼技術(shù)的后,編碼識別技術(shù)也就隨之引入進(jìn)來。編碼識別技術(shù)是指在未知先驗知識或已知一部分先驗知識的情況下,對接收的編碼序列進(jìn)行參數(shù)識別,該技術(shù)應(yīng)用前景十分廣泛。本文對卷積碼的盲識別技術(shù)進(jìn)行研究。首先,介紹線性分組碼與卷積碼的編碼及性質(zhì);然后,介紹了目前幾種現(xiàn)有的卷積碼盲識別算法,同時分析了他們的不足之處;最后,針對傳統(tǒng)Walsh-Hadamard分析法需要先驗知識不能做到全盲識別及計算量大不能達(dá)到實時識別的不足提出改進(jìn)算法,在Walsh-Hadamard分析法前加入對碼長、信息位長度、寄存器長度三個參數(shù)的識別,達(dá)到全盲識別的效果,同時用快速Walsh-Hadamard變換算法替代傳統(tǒng)變換算法,減少計算量滿足實時性。通過仿真分析,改進(jìn)算法不僅做到了全盲識別同時計算量大大降低,達(dá)到了實時性的效果。
[Abstract]:In the field of communication, in order to ensure the quality of information transmission and overcome the interference of noise, the channel coding technology is introduced, which not only guarantees the validity of information transmission, but also guarantees the reliability of information transmission. After the use of coding technology, coding and recognition technology will also be introduced. The coding recognition technology refers to the parameter recognition of the received coding sequence under the condition of unknown prior knowledge or known part of the prior knowledge. The application prospect of this technique is very wide. In this paper, the blind recognition technology of convolutional codes is studied. Firstly, the coding and properties of linear block codes and convolutional codes are introduced, and then several existing algorithms for blind recognition of convolutional codes are introduced, and their shortcomings are analyzed at the same time. Finally, aiming at the deficiency of traditional Walsh-Hadamard analysis which requires prior knowledge can not achieve full-blind recognition and can not achieve real-time recognition with a large amount of computation, an improved algorithm is proposed. Before the Walsh-Hadamard analysis method, the code length and information bit length are added. The recognition of the three parameters of register length can achieve the effect of full blind recognition. At the same time, the fast Walsh-Hadamard transform algorithm is used instead of the traditional transform algorithm to reduce the computational complexity to meet the real-time requirements. Through simulation analysis, the improved algorithm not only achieves the full-blind recognition, but also greatly reduces the computational complexity, and achieves the real-time effect.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TN911.22
本文編號:2444022
[Abstract]:In the field of communication, in order to ensure the quality of information transmission and overcome the interference of noise, the channel coding technology is introduced, which not only guarantees the validity of information transmission, but also guarantees the reliability of information transmission. After the use of coding technology, coding and recognition technology will also be introduced. The coding recognition technology refers to the parameter recognition of the received coding sequence under the condition of unknown prior knowledge or known part of the prior knowledge. The application prospect of this technique is very wide. In this paper, the blind recognition technology of convolutional codes is studied. Firstly, the coding and properties of linear block codes and convolutional codes are introduced, and then several existing algorithms for blind recognition of convolutional codes are introduced, and their shortcomings are analyzed at the same time. Finally, aiming at the deficiency of traditional Walsh-Hadamard analysis which requires prior knowledge can not achieve full-blind recognition and can not achieve real-time recognition with a large amount of computation, an improved algorithm is proposed. Before the Walsh-Hadamard analysis method, the code length and information bit length are added. The recognition of the three parameters of register length can achieve the effect of full blind recognition. At the same time, the fast Walsh-Hadamard transform algorithm is used instead of the traditional transform algorithm to reduce the computational complexity to meet the real-time requirements. Through simulation analysis, the improved algorithm not only achieves the full-blind recognition, but also greatly reduces the computational complexity, and achieves the real-time effect.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TN911.22
【參考文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前1條
1 沈利;刪除卷積碼的性質(zhì)及其盲識別[D];解放軍信息工程大學(xué);2004年
,本文編號:2444022
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