In this paper, a statistical recognition method of the binary BCH code is proposed. The method is applied to both primitive and non-primitive binary BCH code. The block length is first recognized based on the cyclic f...In this paper, a statistical recognition method of the binary BCH code is proposed. The method is applied to both primitive and non-primitive binary BCH code. The block length is first recognized based on the cyclic feature under the condition of the frame length known. And then candidate polynomials are achieved which meet the restrictions. Among the candidate polynomials, the most optimal polynomial is selected based on the minimum rule of the weights sum of the syndromes. Finally, the best polynomial was factorized to get the generator polynomial recognized. Simulation results show that the method has strong capability of anti-random bit error. Besides, the algorithm proposed is very simple, so it is very practical for hardware im-plementation.展开更多
针对STBC-OFDM信号盲识别中存在着识别所需样本数多、对频偏敏感和不适用于单接收天线等问题,提出一种基于FOLP(Fourth Order Lag Product)的识别方法.根据不同空时分组码元素的相关性,推导了接收信号的FOLP,构造了基于FOLP的峰值检测算...针对STBC-OFDM信号盲识别中存在着识别所需样本数多、对频偏敏感和不适用于单接收天线等问题,提出一种基于FOLP(Fourth Order Lag Product)的识别方法.根据不同空时分组码元素的相关性,推导了接收信号的FOLP,构造了基于FOLP的峰值检测算法.推导和仿真结果表明,该算法能够在单接收天线下运行,且不需要知道信道信息、噪声信息、调制信息以及OFDM块的起始位置;且该算法不受调制方式的影响,对时延、相位噪声和频率偏移鲁棒性能好,能够应用于认知无线电、频谱监控等工程领域中.展开更多
针对空频分组码正交频分复用(space-frequency block codes with orthogonal frequency division multiplexing,SFBC-OFDM)信号盲识别问题,提出了一种基于互相关函数的空频分组码信号盲识别方法。首先根据不同SFBC-OFDM元素的相关性,推...针对空频分组码正交频分复用(space-frequency block codes with orthogonal frequency division multiplexing,SFBC-OFDM)信号盲识别问题,提出了一种基于互相关函数的空频分组码信号盲识别方法。首先根据不同SFBC-OFDM元素的相关性,推导了发射信号端信号的相关特性;然后根据发射端信号的相关性,推导了接收端SFBC-OFDM信号的相关特性;最后提出了基于峰值检测的识别算法。仿真结果表明,该算法在较低的信噪比(0 dB)下正确识别概率达到95%,且不需要预先知道信道信息、噪声信息和调制信息。该算法在不同调制方式、时延和频率偏移下正确识别概率在90%以上,能够应用于认知无线电、频谱监控等工程领域中。展开更多
文摘In this paper, a statistical recognition method of the binary BCH code is proposed. The method is applied to both primitive and non-primitive binary BCH code. The block length is first recognized based on the cyclic feature under the condition of the frame length known. And then candidate polynomials are achieved which meet the restrictions. Among the candidate polynomials, the most optimal polynomial is selected based on the minimum rule of the weights sum of the syndromes. Finally, the best polynomial was factorized to get the generator polynomial recognized. Simulation results show that the method has strong capability of anti-random bit error. Besides, the algorithm proposed is very simple, so it is very practical for hardware im-plementation.
文摘针对STBC-OFDM信号盲识别中存在着识别所需样本数多、对频偏敏感和不适用于单接收天线等问题,提出一种基于FOLP(Fourth Order Lag Product)的识别方法.根据不同空时分组码元素的相关性,推导了接收信号的FOLP,构造了基于FOLP的峰值检测算法.推导和仿真结果表明,该算法能够在单接收天线下运行,且不需要知道信道信息、噪声信息、调制信息以及OFDM块的起始位置;且该算法不受调制方式的影响,对时延、相位噪声和频率偏移鲁棒性能好,能够应用于认知无线电、频谱监控等工程领域中.
基金the National Namral Science Foundation of China(Grant Nos.10171017,90204013)Special Funds ofAuthorsofExcellentDoctoralDissertationinChina(GrantNo.200084) Shanghai Science and Technology Funds(Grant No.0351 1501)
文摘针对空频分组码正交频分复用(space-frequency block codes with orthogonal frequency division multiplexing,SFBC-OFDM)信号盲识别问题,提出了一种基于互相关函数的空频分组码信号盲识别方法。首先根据不同SFBC-OFDM元素的相关性,推导了发射信号端信号的相关特性;然后根据发射端信号的相关性,推导了接收端SFBC-OFDM信号的相关特性;最后提出了基于峰值检测的识别算法。仿真结果表明,该算法在较低的信噪比(0 dB)下正确识别概率达到95%,且不需要预先知道信道信息、噪声信息和调制信息。该算法在不同调制方式、时延和频率偏移下正确识别概率在90%以上,能够应用于认知无线电、频谱监控等工程领域中。
