离散系统LMI滤波技术

给出了一种离散系统最优滤波器的线性矩阵不等式（ＬＭＩ）设计方法。在系统干扰噪声能量有界情况下,将有约束的滤波问题转换为无约束的最优状态估计问题。利用ＬＭＩ方法给出了最优无偏滤波器存在的充分必要条件,所得滤波器的阶数小于系统状态个数。将ＬＭＩ方法应用于飞机飞行试验数据处理中,分析了实际飞行条件下飞机运动的模型,并对该模型进行扩展线性化处理,得到了一个较易实现的ＬＭＩ滤波算法。仿真结果表明,所提出的算     

A Recursive Method for Signal Resolution

A recursive method is given for resolving signals overlapping in time. Assume that the signal waveform is known and several signals are received. The signals (of unknown number) may overlap with one another and the amount of time delay of each individual signal is unknown. The signals are corrupted with additive white Gaussian noise. The problem is to estimate the number, the amplitudes, and the time delays of the overlapping signals. Assume that at a certain instant tk-1 estimates have been made on the number of signals arriving in the time interval (O, tk-1) and the amplitudes and time delays of these signals. Using these estimates, we test at tk the hypothesis H1 that a new signal arrives at tk against the null hypothesis Ho that no new signal arrives. The decision gives the number of signals arriving in the time interval (0, tk); the parameters are then re-estimated. The overlapping signals are detected and resolved, and the estimates are improved at each stage. The system is analyzed in detail, and computer-simulated results are presented.     

数字射线成像空间分辨率的增强

成像空间分辨率是工业数字射线成像系统的重要技术指标,通过分析成像的物理过程,给出了成像过程的数学模型,进而得出影响数字射线成像空间分辨率的主要因素,并针对各种因素研究了相应的提高空间分辨率的方法.建立了成像系统的点扩展函数模型,给出了优化投影放大比的方法,提出了一种提高探测器采样频率和光电管采样孔径的硬件方法;采用了一种简便的方法抑制了散射对空间分辨率的影响;计算机模拟及实验结果验证了方法的有效性.     

A Unique Digital Doppler Ambiguity Resolution Technique

This correspondence describes a unique digital Doppler ambiguity resolution technique for a pulsed S-band radar. Whereas conventional methods of resolving ambiguities employ various curve fitting schemes in which the best differentiated range curve fit is compared with the Doppler derived velocity, the method described here uses the opposite approach, i.e., the Doppler derived velocity is integrated and compared with the range change over the integrating interval. The integrating approach offers the following advantages over conventional curve fitting. 1) There are no lag errors due to velocity changes, other than tracker lag induced by jerk. 2) No large storage of past data points and their weighting Constants must be implemented.     

Practical Fusion of Quantized Measurements via Particle Filtering

Most treatments of decentralized estimation rely on some form of track fusion, in which local track estimates and their associated covariances are communicated. This implies a great deal of communication; and it was recently proposed that by an intelligent quantization directly of measurements, the communication needs could be considerably cut. However, several issues were not discussed. The first of these is that estimation with quantized measurements requires an update with a non-Gaussian distribution, reflecting the uncertainty within the quantization bin.; In general this would be a difficult task for dynamic estimation, but Markov-chain Monte-Carlo (MCMC, and specifically here particle filtering) techniques appear quite appropriate since the resulting system is, in essence, a nonlinear filter. The second issue is that in a realistic sensor network it is to be expected that measurements should arrive out-of-sequence. Again, a particle filter is appropriate, since the recent literature has reported particle filter modifications that accommodate nonlinear-filter updates based on new past measurements, with the need to refilter obviated. We show results that indicate a compander/particle-filter combination is a natural fit, and specifically that quite good performance is achievable with only 2-3 bits per dimension per observation. The third issue is that intelligent quantization requires that both sensor and fuser share an understanding of the quantization rule. In dynamic estimation this is a problem since both quantizer and fuser are working with only partial information; if measurements arrive out-of-sequence the problem is compounded. We therefore suggest architectures, and comment on their suitabilities for the task. A scheme based on delta-modulation appears to be promising.     

机载高分辨视频信号采集与压缩技术

机载数字视频记录设备(DVR)在短短的几年里就大量地替代了机载航空电子系统中的磁带式视音频记录设备(VTR),有力地推进了机载记录信息的灵活应用,而且给信息的存储、分发带来了前所未有的高效率。分辨率为1024×768像素分辨率的大屏幕显示终端的广泛应用,对数字视频记录提出了有别于普通电视信号采集记录的要求。1024×768像素分辨率视频信号高速采集和压缩技术是实现数字化视音频记录的核心技术。本文概述了对1024×768(XGA)信号进行采集的惯用方法以及存在的问题,提出了直接对XGA信号进行高速采集和压缩的设计方法。     

The Effects of Filtering and Limiting a Double-Binary PSK Signal

This paper describes a digital computer simulation of a double-binary phase-shift keying system. This simulation program is used to investigate the effects of limiting action and of the shape and bandwidth of the filter on the system performance, expressed in terms of error probability     

智能数字式低频信号发生器

采用一片ＡＴ８９Ｃ５１单片机和两片ＤＡＣ０８３２数模转换器组成数字式低频信号发生器,它具有价格低,性能高和在低频范围内稳定性好,操作方便,体积不,耗电少等特点。     

Digital Processing of Signal Phase Angle

The loss of signal-to-noise ratio (SNR) is derived when the magnitude of weak signals in noise is discarded and the phase angle is quantized for digital processing. It is shown that very coarse quantization results in only a small loss.     

Resolution of signal sources via spectral moment estimation

In different practical situations it is desired to estimate the number of signal sources and their positions in space or in frequency domain. The first problem is known as the detection or the order estimation and the second one as the resolution. For the resolution problem techniques such as nonlinear least squares (NLSM), high-order Yule-Walker method (HOYW), multiple signal classification (MUSIC), Pisarenko harmonic retrieval method, min-norm method, estimation of signal parameters by rotational invariance technique (ESPRIT), were proposed (Marple, 1987 and Stoica and Moses, 1997). All these high-resolution methods are based on the analysis of the signal covariance matrix. But the covariance matrix is not the only choice to represent the signal spectrum. In different applications (weather radars, synthetic aperture radar (SAR) signal processing, ultrasound imaging in medicine, atmospheric turbulence measurements) the signal spectrum can be modeled through its algebraic moments. Recently a number of efficient nonparametric methods have been proposed to estimate the algebraic spectral moments (Monakov, 1999). The presented paper is an attempt to solve the direction of arrival (DOA) problem via estimation of the algebraic spectral moments. A method proposed in the article is comparable in its accuracy with the MUSIC method. At the same time its computational burden is much lower. The method permits to estimate the signal power of sources easily to complete the full spectral line analysis. Additionally the method shows good robustness in situations when signal sources have noticeable spatial extend     

高速数字电路中的信号完整性问题

主要介绍了在高速数字电路中的信号完整性问题。并讨论了如何降低电路中信号干扰的方法。     

用于数字无线通信的TFM技术

TFM(可控调频)是近几年发展起来的一种新的调频体制.此技术的最大优点是信号功率谱主瓣窄,频带利用率高,邻道干扰小,又可获得最好的数字传输质量,这是一般调频技术所无法比拟的,本文详细论述了TFM技术的工作原理,实现方法.     

基于数字滤波的飞行参数预处理新方法

应用小波网络的非线性函数逼近对数字滤波进行了研究 ,为载荷谱编制过程中飞行参数的预处理提供了新方法     

基于FPGA的多通道数字信号下变频器设计

研究了无线通信接收机中。经A／D转换后到基带处理前的中频信号的下变频处理。提出了用FPGA实现多通道数字信号下变频的新设想。通过分析CIC滤波器、HB滤波器和多相滤波器的特点和性能，将它们与抽取器相结合．对MD转换后的数据进行抽取，降低了信号采样率，减轻了后续DSP处理基带信号的压力。结合一个具体的多信道信号．通过软件仿真和在FPGA器件的实现，证明了该方案的正确性。此设计方案集CIC滤波器、HB滤波器和多相滤波器的优点于一身。使设计出的数字信号下变频器能够处理更高频率的信号。     

嵌入式数字信号并行处理技术研究

推动嵌入式数字信号并行处理技术发展主要涉及三个领域的技术:处理器技术、系统的拓扑结构和互连协议。对三项关键技术相关领域技术发展的内容、技术优缺点、技术应用和发展趋势进行了分析。以此为基础,提出了某嵌入式数字信号并行处理模块的设计实现方案。系统具有高速信号处理能力、高速数据传输能力、互连拓扑结构灵活、易扩展、支持容错/重构等特性。     

基于某高速信号处理模块的信号完整性设计方法

信号完整性设计越来越成为高速电路设计成败的关键。基于某高速信号处理模块的设计经验,从器件选型、布局设计、叠层规划、电源地设计、时钟网络设计和布线要求等六个方面总结了信号完整性设计的工程化设计方法,并给出了高速串行信号特殊的设计要求。     

时统信号数字信道传输误差分析与研究

通过对时统信号的理论分析和实际测试验证,准确地分析出时统信号经数字信道传输产生的误差来源于信道的群时延失真和增益频率特性的影响,同时提出了克服传输误差的三种方法：第一种是改善时统信号特性的发送补偿法,已在现有设备上通过修改编码软件方法实现;第二种是改善信道传输特性的信道拓宽法,已在现有设备的伴音信道上验证;第三种是改善时统设备接收适应能力的接收均衡法。完成了均衡器的设计和制作。并通过了实际测试验证。最后对三种方法进行了对比分析。