An idea of estimating the direct sequence spread spectrum（DSSS） signal pseudo-noise（PN） sequence is presented. Without the apriority knowledge about the DSSS signal in the non-cooperation condition, we propose a s...An idea of estimating the direct sequence spread spectrum（DSSS） signal pseudo-noise（PN） sequence is presented. Without the apriority knowledge about the DSSS signal in the non-cooperation condition, we propose a self-organizing feature map（SOFM） neural network algorithm to detect and identify the PN sequence. A non-supervised learning algorithm is proposed according the Kohonen rule in SOFM. The blind algorithm can also estimate the PN sequence in a low signal-to-noise（SNR） and computer simulation demonstrates that the algorithm is effective. Compared with the traditional correlation algorithm based on slip-correlation, the proposed algorithm＇s bit error rate（BER） and complexity are lower.展开更多
This paper presents an approach of singular value de- composition plus digital phase lock loop to solve the difficult problem of blind pseudo-noise （PN） sequence estimation in low signal to noise ratios （SNR） dire...This paper presents an approach of singular value de- composition plus digital phase lock loop to solve the difficult problem of blind pseudo-noise （PN） sequence estimation in low signal to noise ratios （SNR） direct sequence spread spectrum （DS-SS） signals with residual carrier. This approach needs some given parameters, such as the period and code rate of PN sequence. The received signal is firstly sampled and divided into non-overlapping signal vectors according to a temporal window, whose duration is two periods of PN sequence. An autocorrelation matrix is then computed and accumulated by those signal vectors one by one. The PN sequence with residual carrier can be estimated by the principal eigenvector of the autocorrelation matrix. Further more, a digital phase lock loop is used to process the estimated PN sequence, it estimates and tracks the residual carrier and removes the residual carrier in the end. Theory analysis and computer simulation results show that this approach can effectively realize the PN sequence blind estimation from the input DS-SS signals with residual carrier in lower SNR.展开更多
城镇地下或户内变电站的结构振动与噪声的传播与环境问题越来越受到广泛的关注。以220 k V朝阳门地下变电站及其耦连建筑作为测试研究对象,首先开展了不同测点振动与振源的传递函数及相干函数分析,开展了楼板振动与噪声的互谱函数及相...城镇地下或户内变电站的结构振动与噪声的传播与环境问题越来越受到广泛的关注。以220 k V朝阳门地下变电站及其耦连建筑作为测试研究对象,首先开展了不同测点振动与振源的传递函数及相干函数分析,开展了楼板振动与噪声的互谱函数及相干函数分析;其次开展了楼板振动与噪声的相关性分析及对应关系的曲线拟合;最后对变电站楼板振动在平面、立面内随距离衰减进行了分析与曲线拟合。分析研究得出:变电站内结构振动与噪声和变压器油箱振动的频谱特征相似程度很高,各测点振动信号主要来源于变压器。变电站及耦连建筑楼板测点振动与噪声的总体相关性系数达到了0.75,并通过线性曲线拟合得到了由楼板振级推算声级的预估公式。随着水平距离与竖向距离的增加,楼板振动都呈现非线性衰减特性,但距离增大到一定时候,衰减不再显著。此外,通过非线性曲线拟合得到了楼板振级随距离衰减的预估公式。展开更多
基金supported by the National Natural Science Foundation of China under Grant No.61271168
文摘An idea of estimating the direct sequence spread spectrum（DSSS） signal pseudo-noise（PN） sequence is presented. Without the apriority knowledge about the DSSS signal in the non-cooperation condition, we propose a self-organizing feature map（SOFM） neural network algorithm to detect and identify the PN sequence. A non-supervised learning algorithm is proposed according the Kohonen rule in SOFM. The blind algorithm can also estimate the PN sequence in a low signal-to-noise（SNR） and computer simulation demonstrates that the algorithm is effective. Compared with the traditional correlation algorithm based on slip-correlation, the proposed algorithm＇s bit error rate（BER） and complexity are lower.
基金supported by the National Natural Science Foundation of China (10776040 60602057)+4 种基金Program for New Century Excellent Talents in University (NCET)the Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003)the Natural Science Foundation of Chongqing Science and Technology Commission (CSTC2009BB2287)the Natural Science Foundation of Chongqing Municipal Education Commission (KJ060509 KJ080517)
文摘This paper presents an approach of singular value de- composition plus digital phase lock loop to solve the difficult problem of blind pseudo-noise （PN） sequence estimation in low signal to noise ratios （SNR） direct sequence spread spectrum （DS-SS） signals with residual carrier. This approach needs some given parameters, such as the period and code rate of PN sequence. The received signal is firstly sampled and divided into non-overlapping signal vectors according to a temporal window, whose duration is two periods of PN sequence. An autocorrelation matrix is then computed and accumulated by those signal vectors one by one. The PN sequence with residual carrier can be estimated by the principal eigenvector of the autocorrelation matrix. Further more, a digital phase lock loop is used to process the estimated PN sequence, it estimates and tracks the residual carrier and removes the residual carrier in the end. Theory analysis and computer simulation results show that this approach can effectively realize the PN sequence blind estimation from the input DS-SS signals with residual carrier in lower SNR.
文摘城镇地下或户内变电站的结构振动与噪声的传播与环境问题越来越受到广泛的关注。以220 k V朝阳门地下变电站及其耦连建筑作为测试研究对象,首先开展了不同测点振动与振源的传递函数及相干函数分析,开展了楼板振动与噪声的互谱函数及相干函数分析;其次开展了楼板振动与噪声的相关性分析及对应关系的曲线拟合;最后对变电站楼板振动在平面、立面内随距离衰减进行了分析与曲线拟合。分析研究得出:变电站内结构振动与噪声和变压器油箱振动的频谱特征相似程度很高,各测点振动信号主要来源于变压器。变电站及耦连建筑楼板测点振动与噪声的总体相关性系数达到了0.75,并通过线性曲线拟合得到了由楼板振级推算声级的预估公式。随着水平距离与竖向距离的增加,楼板振动都呈现非线性衰减特性,但距离增大到一定时候,衰减不再显著。此外,通过非线性曲线拟合得到了楼板振级随距离衰减的预估公式。
