Blind estimation of the PN sequence in lower SNR DS-SS signals with residual carrier

This paper presents a method of singular value decomposition (SVD) plus digital phase lock loop (DPLL) 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, DS) signals with residual carrier. Of course, the method needs to know the parameters of DS signal, such as the period and code rate of PN sequence. Firstly, the received signal is sampled and divided into non-overlapping signal vectors according to a temporal window, whose duration is two periods of PN sequence. Then, an autocorrelation matrix is computed and accumulated by the signal vectors one by one. The PN sequence with residual carrier can be estimated by the principal eigenvector of this autocorrelation matrix. Furthermore, a DPLL is used to deal with the estimated PN sequence with residual carrier, it estimates and tracks the residual carrier, removes the residual carrier in the end. Theory analysis and computer simulation results show that this method can effectively realize the PN sequence estimation from the input DS signals with residual carrier in lower SNR.     

基于过采样的DS-SS/BPSK信号延迟相乘多重相关检测

提出一种基于过采样的直接序列扩谱（Direct—Sequence Spread Spectrum，DS—SS）/二进制相移键控（Binary Phase Shift Keyed，BPSK）信号延迟相乘多重相关检测方法，并推导了延迟相乘相关原理，分析了基于过采样的延迟相乘相关方法对输出信噪比（Signal to Noise Ratio，SNR）的影响。理论推导和仿真证明，基于过采样的延迟相乘恢复DS—SS／BPSK信号载波方法保留了待测信号中噪声的高斯白噪声特性；采用多重相关的方法还可进一步提高输出信噪比。     

基于门限估计的直扩通信系统窄带干扰变换域抑制方法

该文提出一种基于门限估计的直接序列扩频(DS-SS)通信系统窄带干扰变换域抑制方法。该方法对直扩通信系统接收信号变换域数据的分布特点进行了分析,并采用高斯分布对其作了近似.由于高斯分布的方差即为直扩信号和高斯白噪声方差之和,因此估计出变换域数据的方差,将为频域抑制滤波器的门限设置提供参考。该文采用最大似然比(ML)准则对方差进行了估计,从而实现了频域抑制滤波器的自动门限设制。理论分析和计算机仿真结果均表明,该方法能够有效地抑制直扩通信系统中的窄带干扰。     

多载波无线电定位系统研究

研究了将多载波应用于传统扩频定位系统的方法,发射机将常规扩频信号分为若干个低速的窄带信号去分别调制相互正交的载波后发射出去,接收机通过重新组合,恢复出于原高速序列相同而有一时间差的高速序列,根据时间差确定接收机与发射机的距离。仿真结果表明,该方法在占用传统扩频定位系统带宽近一半情况下,达到和传统扩频定位系统相同的定位测距性能,提高了频谱利用率。     

提高战术通信电子抗干扰能力的可能途径

本文从直接序列（ＤＳ）和跳频（ＦＨ）处理增益的讨论出发,引用有关文献的分析结果,对ＤＳ、ＦＨ、ＤＳ／ＦＨ在常见干扰形式下的优劣作了比较。针对跟踪式干扰工作机制,提出增强ＦＨ,ＤＳ／ＦＨ对抗跟踪式干扰的间接方法。     

窄带干扰环境下直扩信号伪码的盲估计方法研究

为了解决窄带干扰条件下低信噪比直扩信号扩频码的盲估计问题,该文提出了一种直扩信号的相关矩阵累加平均结合矩阵特征分解的方法。该方法首先按照已获知的直扩信号扩频码周期、码速率等二次统计特性参数对接收信号进行取样处理以获得一个观察向量集,接着用所提出的方法对该集合进行处理,其结果可以估计出信号所夹杂的窄带干扰(以多音干扰为例)特征波形,同时还可以进一步估计出信号的扩频码序列。利用前者,可以进一步消除信号所夹杂的窄带干扰,而利用后者则可以对接收信号实行盲解扩处理。理论分析和数值结果都表明了该方法非常有效,并能工作在较低的输入信噪比和很低的信号干扰比环境下。     

Analyze the eigen-structure of DS-SS signals under narrow band interferences

In this paper, an approach of eigen-structure analysis for DS-SS (direct sequence spread spectrum) signals under NBI (narrow band interference) is proposed, which can estimate the PN (pseudo-noise) sequence blindly in lower SNR (signal-to-noise ratio) and SIR (signal-to-interference ratio) DS-SS signals. Of course, some parameters of DS-SS signals (such as period and chip interval of PN sequence) need to be known. First, the received signal is divided into continued nonoverlapping temporal vectors according to the period of PN sequence, and then we calculate and accumulate the correlation matrix of these vectors one by one. An operation of eigenvalue decomposition may be applied to the matrices; we can estimate the eigen-structure (which include the NBI eigen-waveforms and PN sequences) of received signals from the principal component eigenvectors blindly in the end. Based on the estimated NBI eigen-waveforms and PN sequences, the NBI can be rejected, and the DS-SS signals can be de-spreaded without the PN sequence too. Theoretic analysis and experimental results show that the approach is very effective. It can work well on the lower SNR and SIR ambient.     

扩频移动通信中扩频序列捕捉技术的新进展

针对扩频移动通信,对扩频序列捕捉技术的发展状况作了比较全面的回顾。对传统捕促技术以及近来提出或应用的捕捉新技术进行了分类介绍,指出了最新研究动向,并分析了这些捕捉技术的优缺点。     

均衡PN序列在直序扩频系统中的应用研究

获得尽量高的处理增益是设计一个扩频系统所需考虑的重要因素之一。本文从抽样的角度对伪随机序列展开分析，说明使用均衡PN序列进行扩频有助于提高窄带系统的处理增益。在此基础上，研究了产生这种均衡PN序列的途径，并对序列的自相关和互相关特性进行了分析。最后，对应用不同PN序列进行扩频的直扩系统进行仿真，证明结论的正确性。     

直接序列扩频信号(DS-SS)的检测与参数估计

为了解决在低信噪比的情况下,直接序列扩频信号（DS-SS）的检测与参数估计问题,本文讨论了基于高阶统计理论的DS-SS的检测方法以及对DS-SS扩频码码型的估计.在仿真实验中,提出了一种将接收信号分段,利用数据累积窗技术来提高接收信号信噪比的方法.理论分析和计算机仿真结果表明本文的方法鲁棒性强,即使在信噪比很低的情况下,仍然能够检测出DS-SS,并能够对其参数进行准确有效地估计.