水声信道中一种抗多途跳频通信的研究

水声通道系统是当代海洋开发和海洋环境立体监测中的重要技术组成部分，广泛应用于海洋监测、海洋资源勘探和开发等方面。然而，水声信道的随机起伏、时－空－频变的多途特征使水声通信技术成为当代最为复杂的通信技术之一。本文介绍近年来在高速水声通信方面的一些研究进展，讨论了一种利用高速数字信号处理器（DSP）实现水声信道跳频通信的方案，并探讨了该方案在调制信号设计及信号处理实现上所采用的关键技术。     

STPIR和MW组合的北斗三频周跳探测与修复

针对载波相位观测值中出现周跳的问题及北斗卫星导航系统全星座播发三频信号的现状,提出一种三频相位电离层残差二阶历元差分(STPIR)的算法,克服了传统电离层残差法受观测数据采样间隔影响较大的问题,联合MW组合观测量进行周跳探测又可避免各自的探测盲区。两种组合观测量均很好地削弱了电离层延迟项的影响,联立方程组进行周跳求解时,直接取整即可得到周跳值。通过北斗三频实测数据验证,提出的组合方法在观测数据采样间隔较大时,可以准确探测出所有周跳,并有效修复。     

基于最小均方误差算法消除GPS接收机噪声

从解决GPS接收机受干扰的实际需求出发,阐述了基于LMS算法的自适应滤波器基本原理和不同的噪声产生方式,并对GPS接收机仿真信号与噪声进行叠加。最后用基于LMS算法的自适应滤波器对仿真信号进行消噪处理,得到良好的消噪效果,证明了基于LMS算法的自适应滤波器能够应用于GPS接收机滤波系统。     

基于高斯平滑滤波的罗兰C周期识别新方法

在有效估计天波延迟地波时间的基础上,提出了全新的基于高斯平滑滤波的罗兰C周期识别新方法。该方法完全摆脱了固定第三周期识别的思路,在有效防止信号出现周跳和确保接收机接收性能的精确性与稳定性的同时,提高了采样信号的信噪比,降低了信号电平的损失,增加了信息的利用率。     

基于快速数字锁相的溶解氧检测优化设计

溶解氧浓度检测在水产养殖和环境监测中具有重要的意义。本文提出了一种基于快速数字锁相的溶解氧检测优化设计,利用快速数字锁相算法与过采样技术,实现了荧光信号和调制信号的快速相位解调,并得到二者相位差,根据Stern-Volmer方程求出溶解氧浓度值。本文分析了调制频率对测量结果的影响,选择合适的调制频率用于测量,并利用最小二乘法对测量结果进行拟合,拟合后的确定系数R-square为0.999 25。实验数据表明,测量结果相对误差（RE）小于±1.5%,相对标准差（RSD）小于4%,稳定时间小于50 s。本文提出的优化设计不仅具有较高的测量精度,还简化了硬件设计,降低了成本。     

GPS接收机与PC机的串口通讯技术及其在海洋潮位监测中的应用

在剖析"Jupiter"GPS接收机工作原理及其硬软件接口的基础上,实现接收机与计算机的实时通讯,为以浮标为搭载,中、远程海洋长基线精密潮位监测定位打下基础.该接收机软件实现原DOS环境下接收信号的GPS接收机,直接在Windows下实时显示、存储和处理数据.该软件不但适用于"Jupiter"接收机,通过配置串口参数,可以用于任意遵循NMEA0183协议的接收机,扩展性强.     

一种猎雷声呐信号被动定向技术研究

介绍了一种猎雷声呐脉冲信号被动定位的测向方法。反猎水雷采用被动声自导方式,利用猎雷声呐发射的窄带脉冲信号,采用自适应 notch 滤波器估计信号的包络、频率、相位差。采用时延差粗测与相位差精测相结合的方法实现时延估计。此方法不仅对 CW 脉冲信号可测向、测距,还可适用于调频、跳频信号。 该方法已通过仿真及实测数据验证有效。     

基于子空间相关运算的GNSS欺骗干扰检测研究

针对全球导航卫星系统GNSS(global navigation satellite system)面临的欺骗干扰问题,提出了一种基于子空间相关运算的GNSS导航信号欺骗干扰检测算法,该方法以单周期伪随机序列的中频采样信号作为样本,依据设定的多普勒频移搜索步长,获得多组采样序列,并计算自相关矩阵,经特征值分解构建了以伪随机序列为基础的信号子空间。通过已知的伪随机序列循环移位对信号子空间进行相关运算,根据相关峰值数量判断是否存在欺骗干扰。仿真结果验证了算法的有效性,并从搜索范围、搜索步长、信噪比等多个角度验证了算法的鲁棒性,结果表明：本方法能够较好地抑制信号的普勒频移的影响,并在较低信噪比情况下仍具有较高的检测精度。     

动态周跳处理方法研究

通过对基于滤波进行周跳处理的 DIA(detection、identification and adaptation)方法、两步 Kalman 滤波法以及连续周跳检验法的分析,提出了接收机高动态情况下也适用的,改进的动态周跳处理方法。 通过选取“当前冶统计模型作为滤波的状态模型,联合利用载波相位和多普勒观测值进行周跳辨识,同时对周跳偏差进行即时估计和改正。 利用机载测量数据模拟不同周跳发生的情况进行计算分析表明,即使在载体运动情况变化较大的情况下, 本文所提出的算法也能够较好的抵御机动误差的影响,对于多周跳和连续周跳的问题都能够快速准确的处理。     

拖曳声源深海传播损失算法改进

为实现水声传播损失高效准确计算,以满足工程应用要求,基于南海某深水海域水声调查数据研究改进拖曳声源深海传播损失算法。首先,对信号时间序列分析发现:深海多途传播结构显著,可分为直达波、第一二次海底反射波,信号幅度逐渐减小,海面反射波与直达波重叠;目标信号中心频率产生多普勒频移,与声源拖曳速度对应较好;"单频"正弦信号并非单一频点上的声信号,为一窄带功率谱,谱峰对应信号中心频率。进而,从信号识别及多途效应处理两方面对算法进行改进:基于功率谱频带分布,设计Butterworth滤波器带通截止频率,从频域上滤除噪声信号;依据环境噪声电压幅值,制定其判定标准,从时域剔除与目标信号同频带噪声信号。算法改进后可较好适应低信噪比环境下多途拖曳声源信号能量计算,快速高精度得到传损失数据。     

Roll,pitch, and yaw determination using a global positioning system receiver and an antenna periodically moving in a plane

This paper proposes the use of change‐in‐phase measurements of a multiple‐satellite‐tracking NAVSTAR Global Positioning System (GPS) receiver and an antenna periodically moving in a platform's plane to determine the platform's orientation. Available test data are used to demonstrate the orientation‐determination capability of GPS using the proposed procedure. The expected accuracy using satellite multiplexing receivers currently completing development is also discussed.     

Estimating climatic temperature change in the ocean with syntheticacoustic apertures

An acoustic tomography simulation is carried out in the eastern North Pacific ocean to assess whether climate trends are better detected and mapped with mobile or fixed receivers. In both cases, acoustic signals from two stationary sources are transmitted to ten receivers. Natural variability of the sound-speed field is simulated with the Naval Research Laboratory (NRL) layered-ocean model. A sequential Kalman-Bucy filter is used to estimate the sound speed field, where the a priori error covariance matrix of the parameters is estimated from the NRL model. A spatially homogeneous climate trend is added to the NRL fluctuations of sound speed, but the trend is not parameterized in the Kalman filter. Acoustic travel times are computed between the sources and receivers by combining sound speeds from the NRL model with those from the unparameterized climate trend. The effects of the unparameterized climate trend are projected onto parameters which eventually drift beyond acceptable limits. At that time, the unparameterized trend is detected. Mobile and fixed receivers detect the trend at about the same time. At detection time, however, maps from fixed receivers are less accurate because some of the unparameterized climate trend is projected onto tile spatially varying harmonics of the sound-speed field. With mobile receivers, the synthetic apertures suppress the projection onto these harmonics. Instead, the unparametrized trend is correctly projected onto the spatially homogeneous portion of the parameterized sound-speed field     

Mapping climatic temperature changes in the ocean with acoustictomography: navigational requirements

In eddy-resolving hydrodynamic models, first-mode baroclinic Rossby waves linked to El Nino/Southern Oscillation are the dominant features which change basin-wide temperatures below the seasonal thermocline in the northeast Pacific at periods less than a decade. Simulations are carried out in which Rossby waves are mapped using acoustic tomography. Based on the model which propagated these waves, a Kalman filter is used to map temperature signals for a year. The modeled data are taken from a dense network of acoustic tomography sections. At 300-m depth, where the temperature perturbations associated with Rossby waves are about ±1°C, 80% to 90% of the model variance is accounted for with tomographic estimates. The corresponding standard deviations of the estimates are less than 0.1°C at 400-km resolution. About 80% of the model variance is accounted for with tomography when the navigational errors of the sources and receivers are as poor as one kilometer. Consequently, it may be unnecessary to accurately navigate actual tomographic instruments to map climate change. Modeling results are insensitive to: 1) a reduction in data due to a significant number of instruments which fail; 2) whether the instruments are mobile or fixed; 3) the detailed trajectories of mobile receivers; 4) the shape of the a priori spectrum of ocean fluctuations; 5) the corrections to the acoustic travel-time biases; and 6) the errors in the sound-speed algorithm. In basin-scale arrays, the modeled variance of acoustic travel time depends on the horizontal wavenumber of temperature as k^-5.5. Because sound has little sensitivity to small wavelengths, modeled Rossby waves can be mapped in a day from a few sources and of order ten receivers. The results only depend on the model having large scales in space and time     

Adaptive multiuser detection for underwater acoustical channels

An underwater acoustic local area network (ALAN) provides multipoint-to-point telemetry between many high-rate, ocean-bottom sensors and a central, surface-deployed receiver in the 10-30 kHz vertical acoustical channel. Ocean-bottom modems initiate the transmission process by requesting data channel time slots via a common narrow-band request channel. Request packets overlap in time and frequency in this channel, and the throughput and average transmission delay rely heavily on the successful resolution of the request packet collisions. This paper presents the design, analysis, and experimental demonstration of a request channel receiver capable of resolving collisions between several asynchronous and cochannel packets. The receiver algorithm differs from standard capture schemes (by demodulating the data from both strong and weak transmitters), conventional spread-spectrum receivers (by overcoming the near-far problem), and existing multiple-access demodulation techniques (by adapting to the number of interfering signals, and the unknown phase, Doppler, amplitude, and timing of each signal in the collision). The receiver demodulates the collided packets by decision-directed techniques through a novel method of estimating the interference for each user which minimizes error propagation due to inaccurate tentative decisions. An inwater experiment illustrates that this technique is extremely desirable for collision resolution in underwater acoustic local area networks, and also for underwater autonomous vehicles with both sidescan sonar as well as acoustic telemetry links     

Acoustic tomography at basin scales and clock errors

A basin-scale acoustic tomography simulation is carried out for the northeast Pacific Ocean to determine the accuracy with which time must be kept at the sources when clocks at the receivers are accurate. A sequential Kalman filter is used to estimate sound-speed fluctuations and clock errors. Sound-speed fluctuations in the simulated ocean are estimated from an eddy-resolving hydrodynamic model of the Pacific forced by realistic wind fields at daily resolution from 1981-1993. The model output resembles features associated with El Nino and the Southern Oscillation, as well as many other features of the ocean's circulation. Using a Rossby-wave resolving acoustic array of four fixed sources and twenty drifting receivers, the authors find that the percentage of the modeled ocean's sound-speed variance accounted for with tomography is 92% at 400-km resolution, regardless of the accuracy of the clocks. Clocks which drift up to hundreds of seconds of error or more for a year do not degrade tomographic images of the model ocean. Tomographic reconstructions of the sound-speed field are insensitive to clock error primarily because of the wide variety of distances between the receivers from each source. Every receiver “sees” the same clock error from each source, regardless of section length, but the sound-speed fluctuations in the modeled ocean cannot yield travel times which lead to systematic changes in travel time that are independent of section length. The Kalman filter is thus able to map the sound-speed field accurately in the presence of large errors at the source's clocks     

低通滤波器在高光谱影像分类中的应用

研究了低通滤波器对类别可分性的改善原理,指出将其应用于高光谱影像分类有利于获取更为准确的类别分布信息,进而提高影像分类精度。最后通过实验对低通滤波器在高光谱影像分类中的表现进行了验证。     

船舶航行安全信息可视化关键技术研究

针对当前NAVTEX和EGC接收机无法实现船舶航行安全信息可视化的问题,提出一种基于电子海图显示与信息系统的船舶航行安全信息可视化方法,研究并解决涉及的若干关键技术。经实践应用表明,该方法可有效解决报文信息存在的效能低、标绘难、非图形化显示等弊端,同时可推动海岸电台进一步发展基于新型通信手段的海上安全信息播发业务。     

Algorithms for automatic,real-time tsunami detection in wind–wave measurements Part I: Implementation strategies and basic tests

Several, although not all, wind–wave gages are equipped with sensors capable of detecting sea-level oscillations within the tsunami frequency band. The present paper looks at the algorithms to be implemented in the software of these gages in order to automatically perform the real-time detection of a possible tsunami within recorded signals. In particular, a new algorithm is proposed and tested. The first part of the paper concentrates on the algorithms' characteristics, implementation strategies and basic testing. First of all, the situations in which wind–wave measurements are either essential, or useful for real-time tsunami detection are discussed. In the second place, already existing algorithms are recalled, specifying their characteristics and fields of application. Then, the characteristics of the new proposed algorithm – mainly based on an infinite impulse response, time domain filter – are illustrated and analyzed. Performance and efficiency of the considered algorithms are compared using synthetic time series. The second part of the paper discusses the algorithms' use in the framework of Tsunami Early Warning Systems (TEWS), testing them in actual cases.