基于混沌理論的SCCPM聯(lián)合迭代解調(diào)譯碼算法
發(fā)布時(shí)間:2018-07-11 12:17
本文選題:連續(xù)相位調(diào)制 + 暫態(tài)混沌; 參考:《四川大學(xué)學(xué)報(bào)(工程科學(xué)版)》2014年03期
【摘要】:針對(duì)DVB-RCS2下行鏈路物理層中定義的串行級(jí)聯(lián)連續(xù)相位調(diào)制信號(hào)迭代檢測(cè)中存在的系統(tǒng)復(fù)雜度高、低信噪比條件下收斂性較差的問題,從匹配濾波器組和迭代譯碼兩方面對(duì)系統(tǒng)進(jìn)行改進(jìn),提出了一種基于混沌理論的聯(lián)合迭代解調(diào)譯碼算法。該算法利用修正高斯小波函數(shù)的快速收斂特性來控制混沌迭代過程的動(dòng)態(tài)區(qū),并且結(jié)合延遲反饋控制法,有效抑制了迭代譯碼中暫態(tài)混沌對(duì)系統(tǒng)性能的影響,改善了系統(tǒng)在低信噪比條件下的收斂性,同時(shí)減少了迭代譯碼的次數(shù)。為了進(jìn)一步解決計(jì)算迭代譯碼中的碼字先驗(yàn)信息需要大量匹配濾波器的問題,通過計(jì)算協(xié)方差矩陣的條件數(shù)可得有效匹配濾波器具有很強(qiáng)相關(guān)性,提出的算法使用截?cái)嘈√卣髦捣▉頊p弱這種相關(guān)性,從而對(duì)匹配濾波器組進(jìn)行簡(jiǎn)化,在實(shí)際應(yīng)用中僅使用4個(gè)匹配濾波器即可滿足要求。仿真結(jié)果表明,提出的算法與傳統(tǒng)算法相比,可以有效地降低系統(tǒng)復(fù)雜度,同時(shí)具有良好的迭代收斂性,并且適用于所有類型的CPM調(diào)制方案。
[Abstract]:Aiming at the problems of high system complexity and poor convergence under the condition of low signal-to-noise ratio (SNR), the iterative detection of serial cascade continuous phase modulation signals defined in the downlink physical layer of DVB-RCS2 is of high system complexity. A joint iterative demodulation decoding algorithm based on chaos theory is proposed by improving the system from two aspects: matched filter banks and iterative decoding. This algorithm utilizes the fast convergence of modified Gao Si wavelet function to control the dynamic region of chaotic iterative process, and combines with the delay feedback control method to effectively suppress the effect of transient chaos on the system performance in iterative decoding. The convergence of the system under low signal-to-noise ratio (SNR) is improved and the number of iterative decoding is reduced. In order to further solve the problem that a large number of matched filters are needed to calculate the prior information of codewords in iterative decoding, it is found that the effective matched filters have strong correlation by calculating the conditional numbers of covariance matrix. The proposed algorithm uses the truncated small eigenvalue method to reduce this correlation, thus simplifies the matched filter banks. In practical application, only four matched filters can meet the requirements. Simulation results show that the proposed algorithm can effectively reduce the complexity of the system compared with the traditional algorithm and has good iterative convergence and is suitable for all kinds of CPM modulation schemes.
【作者單位】: 解放軍信息工程大學(xué)信息系統(tǒng)工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(61072046) 河南省自然科學(xué)基金資助項(xiàng)目(102300410008)
【分類號(hào)】:TN911.3
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【共引文獻(xiàn)】
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