差分PIC接收技术在WCDMA系统中的应用

研究了WCDMA系统中的差分PIC多级接收技术，探讨了减少运算量的简化算法，通过对WCDMA系统进行链路级仿真得到了该系统的性能曲线，最后给出了差分PIC技术的实现方案。     

基于遗传算法的多传感器自适应噪声抵消器

讨论了同一噪声源多传感信号的自适应噪声抵消器的设计方法·针对同一信号源的多传感信号,采用快速遗传算法获取多路信息融合器(LC)的权系数及自适应噪声抵消器的系数,克服了基于梯度的搜索算法和随机搜索等算法获取最优滤波器参数难的问题·利用遗传算法自适应调整LC的权系数,克服了采用并行噪声抵消器的输出平均作为估计信号时,可能造成估计误差太大的缺陷·仿真结果表明,该自适应噪声抵消器的设计方法,不仅实现简单、运行时间短,而且充分利用了多传感信号的信息,其去噪效果良好·     

基于多维统计分析方法的脑电消噪

基于二阶统计特性的主分量分析(PCA)和基于高阶统计特性的独立分量分析(ICA)是两种非常典型的多维统计分析方法.本文对PCA和ICA基本原理进行了简单介绍,并结合脑电消噪问题,对两种方法的性能和特点进行了比较.实验结果表明,在脑电消噪和特征增强等方面,独立分量分析方法具有明显的优势.     

数字电路设计中的信号完整性分析

文章介绍了数字电路设计中的信号完整性问题,探讨了振铃、边沿畸变、反射、地弹、串扰和抖动等各种信号完整性问题的成因和抑制措施。针对常见的反射和串扰给出了较为详细的分析,并提出具体的抑制措施。反射可以通过适当的端接措施来减小甚至消除,而串扰可以通过减小平行走线长度、增加线间距及调整介质厚度等措施来抑制。     

一种改进的自适应算法及其在语音增强中的应用

对基于累积误差准则和基于共轭梯度的自适应算法进行了讨论和比较,分析了各自的特点,在此基础上提出了一种改进的自适应算法。改进算法可以在保证算法稳定的前提下提高算法的收敛性能。将改进算法应用于基于自适应干扰对消的语音增强实验,结果表明,与原有算法相比,改进算法能够使含噪语音的信噪比有较大改善。     

基于数字对消的跟踪干扰抑制方法

抗跟踪干扰已逐渐成为跳频通信中的研究热点和难点。针对跳频通信抗跟踪干扰难以实现的问题,采用数字对消方法实现跟踪干扰抑制。首先,基于跟踪干扰信号特点及战术背景,提出跟踪干扰信号估计方法,完成数字对消中参考信号的提取;然后,将干扰信号与混合信号进行对消完成干扰抑制;最后,基于现场可编程门阵列(field programmable gate array, FPGA)开发板,搭建了半实物仿真实验平台。实验结果表明,所提方法能够有效抑制跟踪干扰。对于不同的干扰频点,信干比(signal to interference ratio, SIR)提升不同,干扰抑制效果受干扰信号强度的影响。当干扰信号方差σ_w²在0.75~1.5时, SIR提升的平均值能达到10 dB,当σ_w²=0.25或2时,则小于8 dB。     

基于相对误差互相关函数的变步长LMS算法

许多时变步长自适应滤波算法被用来解决标准LMS算法的固有矛盾,但实验表明这些算法易受独立噪声的干扰,或计算量大、耗时太长。针对上述问题,提出了一种新的变步长LMS自适应滤波算法,它采用相对的误差互相关函数来控制步长更新。该算法计算量小、易于控制,具有快速的收敛速度和较小的失调,不受已存在的非相关噪声的影响,可很好地应用于自适应对消系统中,且在低信噪比环境中仍能保持良好的性能。计算机仿真及实测数据的处理与理论分析结果一致。     

Algorithm of sky-ground-wave signal separation in CDMA system

To solve the problem of the sky-wave interference in radio positioning system operating in CDMA mode, an algorithm of sky-ground-wave separation is provided. Based on the MLE （maximum likelihood estimate）, and by estimating the amplitude and the phase of the sky-wave signal, the provided algorithm for separating skyground-wave is implemented. The mathematics model used for signal processing is established, and the possible solutions are provided. The structure and signal processing flow implementing the presented algorithm in the receiver are presented. A multi-channels signal searching idea is adopted, some of which process the sky-wave signal, and some of which process the ground-wave signal. Numerical analysis and simulation show that the proposed algorithm has higher accuracy, more rapid processing speed, and simpler implementation for the estimation of the sky-wave signal parameter, and can separate the sky-wave signal and ground-wave signal from the arrival combination signal effectively.     

Research on the frequency domain ∑△-DPCA

The frequency domain ∑△-DPCA processing (F-∑△-DPCA) is investigated in detail, and an im-proved scheme for the F-]EA-DPCA is proposed, which can significantly reduce the computational burden. In practice, because of the sum and difference beam pattern designed independently and other system errors, the clutter suppression of the time domain ∑△-DPCA processing (T-∑△-DPCA) is significantly degraded. However,the F-∑△-DPCA adaptively calculates the optimum gain ratio for motion compensation within each Doppler cell,which is robust to system errors. Theoretical analysis and simulation results are presented to validate that the F-∑△-DPCA can achieve superior performance of clutter cancellation than the time domain processing, and its performance can be significantly increased if more pulses are used for the Doppler filtering. The improved approach is efficient, and feasible for real-time application.     

Microwave and IF Cancellation of Leakage Signal for Spread Spectrum Radar

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