三阶相关在检测直接序列扩频信号中的应用研究

针对传统直扩信号检测方法的不足,提出了一种更加有效的方法,即三阶相关检测法,并对这种方法进行了理论分析和计算机仿真.仿真结果表明这种方法能够在接收信号长度小于一个扩频码周期的情况下,并且在低信噪比传输环境中,检测出直扩信号扩频码的周期和产生扩频码序列的本原多项式.     

直接序列扩频信号的三阶相关检测

基于高阶统计理论,讨论了一种检测直接序列扩频信号的有效方法,即三阶相关检测法,并对这种方法进行了理论分析和计算机仿真。仿真结果表明该方法能够在接收信号长度小于一个扩频码周期的情况下检测出直接序列扩频信号的扩频码周期和产生扩频码序列的本原多项式。     

直接序列扩频信号的盲检测

本文将时域相关检测法,循环谱检测法,倒谱检测法和高阶累积量检测法四种方法应用于直接序列扩频信号(DSSS)的盲检测,给出了具体的实现方法,并通过仿真实验进行验证比较,结果表明,时域相关法和循环谱法并不适用于低信噪比情况下信号的盲检测,相对于高阶累积量法,倒谱法在实时性方面有较大优势,有较好的发展前景。     

直接序列扩频信号数字科斯塔斯坏的分析与设计

本文介绍了一种用数字costas环对直接序列扩频信号进行解扩解调的原理,阐述了各部分电路的实现方法,得出的结论对工程设计有一定的参考价值。     

直接序列扩频系统多音扫频干扰性能分析

为有效干扰直接扩频通信系统,通过分析扫频信号及多音信号在干扰直扩通信系统时存在的优缺点,提出了一种针对直扩通信系统的多音扫频干扰技术.该方法将直扩通信系统的频谱划分为若干个子频谱,针对每个子频谱采用扫频信号进行干扰.理论分析和仿真验证表明,该方法可以明显改善扫频干扰直扩通信系统时扫频时间过长以及多音干扰依赖音调位置的缺...     

多载波直接序列扩频码分多址系统的性能分析

本文将多载波发送信号技术应用于直接序列扩频码分多址系统中,发射机中直接扩频序列与数据序列相乘,然后调制多个载波;接收机对每个载波进行相关,相关器的输出用最大比值合并。     

非相干直接序列扩频信号的定时估计

首先分析了定时恢复在非相干直接序列扩频中的必要性,然后利用滑动平均器将解扩后的非相干扩频信号等效为高倍采样的非扩频信号,最后选择了一种适合于非扩频信号定时估计的算法,并将该算法用于非相干扩频信号的定时估计。仿真表明,该算法性能满足非相干直接序列扩频信号对定时估计误差的要求。     

直接序列扩频信号的初相和扩频码序列初始时间的循环谱估计

本文提出一种直接序列扩频信号参数估计的新方法，基于直接序列扩频信号的循环谱幅度与相位特性，利用特定处循环谱相位实现信号初相与扩频码初始时间的估计；该估计方法避免了多维搜索，计算量小，估计精度高，且不需要知识扩频码；文中对估计误差方差进行了理论分析，并通过仿真实验验证了其性能。     

直接序列扩频信号的时频特性分析

本文采用时频分析方法推导了理想信道条件下单码片成形直扩信号及其解扩信号的短时频谱特性，并给出了基于匹配滤波和最大比合并解扩解调算法的信噪比和误码率计算公式。分析计算结果表明，直扩系统的误码性能与码片波形的选择密切相关，并且与扩频码片的最大比合并有效性是相一致的。最大比合并有效性可以作为衡量码片波形性能的尺度，通过比较各种扩频码片波形的最大比合并有效性来对其误码性能进行定性分析。     

基于模糊函数的直接序列扩频信号参数估计改进方法

分析了基于模糊函数的直接序列扩频信号参数估计方法,研究了该方法在低信噪比环境下针对信号码元传输速率、码片周期等参数估计结果的有效性.在此基础上,提出了一种利用ANFIS(自适应神经模糊推理系统)网络先行去噪,再进行信号参数估计的改进方法.计算机仿真结果证明了这一改进方法的有效性.     

非合作情况下长码直扩卫星信号载频检测和功率估计方法

针对长码直接序列扩频卫星信号信噪比低、多普勒频率影响明显、码周期长等特点, 提出了一种非合作情况下长码直扩卫星信号载频检测和功率估计的方法。该方法通过在本地NCO中加入多普勒频率一阶导数信息来抑制多普勒频率的影响; 在检测电路中加入“超前-滞后”结构, 以防止频率测量值在频率及其一阶导数构成的二维平面上沿脊线发生偏移,并利用最小二乘方法对频率进行预测,以减小搜索范围。仿真结果表明, 所提方法能够较好地减小多普勒频率引起的估计偏差, 检测信噪比达到-21 dB。     

直扩通信系统中软件无线电的建模与实现

将扩频技术和软件无线电技术相结合在未来扩频通信的发展中占有重要的地位。基于软件无线电的思想,给出了直接序列扩频通信系统的数学模型,并对软件实现直扩系统接收机的一种设计方案进行了分析。     

PN序列直扩系统抗干扰性能仿真分析

该文基于直扩系统原理,建立了PN序列直扩系统仿真模型,利用Matlab工具仿真分析了系统在宽带干扰、单音干扰和脉冲干扰下的性能,并对编码和同步对系统误码性能的影响作了仿真研究,最后总结了直扩抗干扰性能。     

一种低复杂度的超高阶码索引调制方法

为了应对直接序列扩频(DSSS)中信息传输率低的局限,出现了多进制扩频及索引调制等技术,由于此系列技术中附加信息都是通过伪码变换来映射的,因此调制阶数越大,复杂度也越大,而当系统所承受的复杂度受限时,调制阶数也就无法提升.为解决高阶信息传输率受限问题,该文提出一种低复杂度的超高阶码索引调制(UHO-CIM)方法,通过2...     

Performance Analysis of an Expanding-Search Algorithm for Coarse Acquisition of DSSS Signals

For coarse acquisition of Direct Sequence Spread Spectrum (DSSS) signals, a search of the possible code phases is required. In cases such as signal reacquisition, where a priori information is available, the serial search may be abandoned in favor of an expanding search. In this paper, an expanding-search algorithm is presented and compared to the expanding-sweep algorithms which have been treated in the literature. Performance results for the serial-search and the expanding-search algorithms are given. A discussion of the optimality of the serial-search and the expanding-search algorithms is presented. Performance comparisons of the serial search and the expanding search are made for different a priori code phase probability density functions (pdfs) and the results are discussed. A technique for determining when the expanding search is an optimal search algorithm is developed and applied to the performance curves shown previously. The results indicate that the expanding search provides a quantifiable improvement over the serial search when the pdf is somewhat peaked. The results also indicate that in many cases the expanding search may be a more effective search algorithm than the more common expanding sweep.     

窄带干扰条件下含有未知载频的直扩信号的伪码序列估计

为了解决窄带干扰条件下含有未知载频的直扩信号的伪码序列的估计问题,该文在已知码片速率和伪码周期的前提下,提出一种结合矩阵特征分解和线性调频Z变换的伪码序列盲估计算法。该方法对接收信号分段获得观察向量,并对观察向量的相关矩阵进行特征分解,最后应用改进的最小描述长度(MDL)准则和线性调频Z变换(CZT)对特征向量进行处理,可以估计出窄带干扰信号,同时还可以估计出信号的载频和伪码序列。仿真实验给出了不同干扰信号和不同伪码序列长度时算法的性能曲线,理论分析和仿真结果都表明了该方法能有效地工作在较低的信噪比下。     

一种抑制直扩通信窄带干扰的新型非线性自适应预测滤波器

为了更有效地抑制直接序列扩频通信中的窄带干扰,论文提出了一种非线性Laguerre滤波抑制直扩频通信窄带干扰的方法,给出相应的自适应算法。该方法利用具有IIR和FIR滤波器特点的Laguerre时延单元构造非线性自适应预测滤波器。该方法可以使预测器的记忆深度与预测器的阶数解偶,以更少的阶数达到更优的抑制性能。仿真实验结果表明：与Vijayan和Poor传统非线性自适应预测滤波器相比,该滤波器能够保证均方误差的收敛稳定性,并能在信噪比改善提高12dB的前提下,使滤波器阶数降低为原来的1/3~1/5,具有一定的现实意义。     

Audio steganalysis of DSSS based on statistical moments of histogram

Compared with the histogram of Discrete Cosine Transform (DCT) coefficients before the Direct Sequence Spread Spectrum (DSSS) embedding, the peak value of the histogram after the em-bedding decreases and expands toward the border. Based on the property, an audio steganalysis of DSSS based on statistical moments of histogram is proposed. The statistical moments of the histogram in DCT domain and its frequency domain and the statistical moments of the histogram of the wavelet coefficients of every level in frequency domain are calculated as the features of classification. Support Vector Machine (SVM) is exploited as the classifier. Experimental results show that the proposed technique is effective on the DSSS embedding in DCT domain using different embedding length, and the average detection rate is 91.75%.     

Subset Parallel Volterra Filter for narrowband interference suppression in DSSS communications

Subset Parallel Adaptive Volterra Filter （SPAVF） design algorithm is proposed in this letter. Contribution factor is introduced in SPAVF, and it can get rid of redundant elements efficiently in the extended input vector. Computational weight can be reduced largely, and BER performance of SPAVF can be improved by getting rid of the influence of redundant elements in the input vector. Simulation result proves its advantage compared to AVF and PSVF.     

Time-varying AR modeling and adaptive IIR notch filter for anti-jamming DSSS receiver

Using Time-Varying AR (TVAR) model and adaptive notch filter is a new method for the non-stationary jammer suppression in Direct Sequence Spread Spectrum (DSSS). The performance of TVAR model for Instantaneous Frequency (IF) estimation will be affected by some factors such as basis functions. Focusing on this problem, the optimal basis function of TVAR model for the IF estimation of the LFM signal is obtained in this paper. Besides the depth and width of notching, the phase properties of notch filter affect the Signal-to-Interference plus-Noise Ratio (SINR) of correlation output to the narrowband jammer suppression in DSSS, in response to the problem the closed solution of correlation output SINR improvement has been derived when a single frequency jammer passes through direct IIR notch filter, and its performance has been compared with those of five coefficient FIR filters. Later, a novel method for LFM jammer suppression based on Fourier basis TVAR model and direct IIR notch filter is proposed. The simulation results show the effectiveness of the proposed method.