基于特征参数的雷达信号识别算法及DSP实现

为解决传统雷达信号识别方法难以达到实时性的困难,提出了一种雷达信号快速识别算法.该算法基于信号的非周期自相关函数提取了映射信号带宽和频率变化率的2个特征参数,实现了对4种雷达信号的类型识别.仿真和硬件测试结果表明,该算法能在低信噪比下实现对雷达信号的全概率识别,识别时间小于0.8ms.算法适合硬件高速实时实现,具有一定的工程应用价值.     

基于积谱矩阵局部二值模式的欺骗干扰识别

针对跟踪雷达的三种常见欺骗干扰,提出了一种基于积谱矩阵(SPM)局部二值模式（LBP）的识别算法。首先,计算雷达接收信号不同脉冲重复周期（PRI）的积谱,并将其按照频域和慢时域排列成一个二维积谱矩阵。然后,将图像处理的纹理特征引入到欺骗干扰识别的算法中,采用局部二值模式提取二维积谱矩阵的灰度图像特征。最后,通过仿真实验验证了算法的正确性,当雷达接收信号的信噪比（SNR）大于5 dB时,该欺骗干扰识别算法的平均识别概率优于90%。     

利用指数范数的QAM信号调制识别方法

针对高阶正交幅度调制（QAM）类信号的调制识别问题，提出了一种利用指数范数的调制识别分类方法，实现了由5种QAM类信号所组成信号集的调制识别。首先，对信号集内待识别信号提取指数范数特征，依次将16QAM和32QAM信号从信号集内识别出来；然后，对信号集内剩余信号提取高斯指数范数特征，依次识别64QAM、128QAM和256QAM信号；最后，根据决策树原理设计分类器，实现信号集内5种QAM类信号的识别。仿真结果表明，在信噪比大于6 dB时，该方法对信号集内的信号的识别正确率超过96%。     

基于深度学习的跳频信号识别

针对跳频信号分选存在人工提取参数特征具有复杂性的问题，提出了一种基于深度学习的识别方法。首先对跳频信号进行短时傅里叶变换，得到二维的时频矩阵；接着提取信号的轮廓特征，构造三维矩阵作等高线图，并对等高线图进行预处理；最后把预处理后的等高线图输入到卷积神经网络中进行训练、测试，进而实现分类识别。仿真结果表明，在不需要复杂的人工提取参数特征的基础上，在分选率为100〖WT《Times New Roman》〗%〖WTBZ〗时，所提方法经裁剪处理下的信噪比为-15 dB，比支持向量机和传统K-Means聚类算法都低10 dB。实测数据的算法验证表明，所提方法能够将大疆精灵4Pro、hm无人机、司马航模X8HW以及大疆悟2这四类无人机正确分类。     

一种有效的雷达信号快速识别方法

针对多种调制类型的雷达信号快速侦察识别成功率较低的问题，提出了基于瞬时频率特征提取的雷达信号快速识别新算法。首先，由短时傅里叶变换（STFT）得到信号每一部分的瞬时频率特征；其次，对得到的瞬时频率进行两次归一化分别得到各自特征值；最后，用层次决策方法对雷达信号进行分类识别。仿真实验结果证明该方法能有效识别各种雷达信号，在信噪比高于-3 dB时，各种脉内调制的识别成功率都达到90%以上。     

基于累积和的改进超宽带循环平稳检测算法

针对超宽带循环平稳检测存在的门限难以设定、低信噪比下检测延迟较大的问题，提出了基于累积和的改进超宽带循环平稳检测算法。首先将信号整个三维循环谱归一化为二维灰度图，与噪声对应的灰度图比较差异，再将两类图像放入卷积神经网络（Convolutional Neural Network,CNN）自行训练提取特征，解决门限难以确定的问题。若分析三维循环谱的时间块长过短，将导致信号灰度图特征在有无噪声情况下区别不大；若块长过长会导致检测延迟较大。为此，采用累积和算法提取网络全连接层输出的信号概率作为累积和的观测统计量，自适应检测所需采样时间长度。将所提算法与传统循环平稳检测以及结合了CNN的循环平稳检测进行对比，仿真表明所提算法在低信噪比下性能最优。     

采用广度优先搜索邻居聚类的通信信号调制识别

针对短波通信中无法避免的码间串扰问题,研究了聚类算法在信号调制识别中的作用,提出了一种利用广度优先搜索邻居(BFSN)聚类处理循环统计量特征的分类算法。该算法将循环统计量特征峰值作为聚类输入对象,通过BFSN聚类分析,剔除延时信号、噪声等造成的奇异类峰值,克服了多径效应产生的码间串扰影响,实现了2FSK、4FSK、BPSK、QPSK、16QAM、π/4-QPSK、π/4-DQPSK、8PSK等8种调制信号的自动识别。仿真表明,该算法聚类后提取的特征参数抗多径干扰能力强,同信道均衡方法相比识别正确率有5%的性能优势。低信噪比环境下的信号调制识别具有重要的工程应用意义。     

拖曳式雷达诱饵目标识别技术

针对拖曳式雷达诱饵易对雷达导引头造成欺骗性干扰的问题，利用雷达回波中提取的目标微动多普勒特征、极化特征和雷达截面积序列统计特征进行仿真分析，在实现载机和诱饵初步识别的基础上，采用贝叶斯（Bayes）数据融合方法，对上述3种回波信号特征进行一级融合，并进一步对不同时刻的信号特征进行二级融合，最终将目标识别率由71.5%提高到了96%。该目标识别方法能够大大减少外界因素的影响，相对于单特征识别显著提高了目标识别率。     

基于多尺度残差网络和小波变换的LPI雷达信号识别

针对复杂战场电磁环境下的低截获概率（Low Probability of Intercept,LPI）雷达信号识别问题,提出了一种基于小波变换和多尺度残差网络的识别方法。首先利用离散小波变换提取LPI雷达信号的时频特征;然后利用多尺度残差网络的多层特征提取网络对输入信号进行深层自主学习,以获取原信号时频数据的分布式特征,从而实现对雷达信号的识别预测。在不同信噪比条件下对不同调制样式信号进行实验,证明了所提方法的可行性与有效性,以及较高的识别率和泛化能力。     

一种敌我识别辐射源暂态信号指纹特征提取方法

信号的指纹特征是辐射源个体识别的重要依据。针对敌我识别辐射源的个体识别问题，提出了一种基于双树复小波和多重分形的信号暂态特征提取方法。该方法通过双树复小波变换实现信号多分辨率分解，求解分解信号Hilbert谱的信息熵和指数熵，计算信号的多重分形奇异指数和谱值，最终组成表征辐射源的特征向量。通过实验验证，提取的特征向量能充分代表辐射源个体之间的差异；被测信号的信噪比满足8 dB或9 dB的条件时，对辐射源的识别正确率能达到90%以上。统计分析表明该方法提取的特征具有很高的稳定性。     

Brown＇s Blossom in Britain-China

The overall strategic relationship between U.K. and China is ＂better than ever＂, China- Britain relations have maintained good momentum, with increased high-level exchanges and the reinforcement of strategic mutual trust, with more room for growth in the future.     

Challenge and Opportunity Go Hand in Hand——What Global Economic Agitation Brings to the China's Economy?

Domino effects of the global finance agitation As the origin of the subprime crisis,US financial institutions lost USS45 billion last year,accounted for over half of the total US,EU & Japan loss.Since January 15th,Chtigroup released its financial statement of the 4th quarter,showing a net deficit of USS9.83 billion,which marked the hisoric high of its quarterly deficit.     

Sinosteel：Extraordinary Moves in Industry Chess

Among the Fortune 500 firms,more and more images from China emerge out.On the 2008 list,Sinosteel Corporation,a landmark group of China industries quietly squeezes into the candidate line.As the largest steel service ＆ trade enterprise,its sales reached at RMB 111.24 billion,with a year-on-year increase of 83.03 percent,and the profit grew by 180.03 percent.On the Sinosteel 2008 Work Meeting,the president Huang Tianwen uttered,＂In the coming year,we will work for US$20 billion sales,and look forward to getting a position in Fortune 500 firms for ourselves.＂     

Walk Through Unusual Five Years—— An Exhibitor＇s Canton Fair Course

When the 103rd Canton Fair is approaching, an old friend of Canton Fair, Li Ying from Jiangsu prov-ince recollected his past five years＇ experiences to the grand trade meeting. Each year is special, with some unforgettable memories colored by the year.     

Jean-Pierre Duprieu： Willing to Be A Legate of Sino-French Business

Estaing, former French president, Valery Giscard d＇Estaing attended Sino-French Economic Seminar held in Shanghai in early April and said that the world center has shifted from the west to the east with many European and US companies entering into Asia, and China has the ability to play an important role in the world stage. Estaing, naming himself＂French Confucian＂, then said in Chinese that a cook-group includes 10 people in ancient Chinese soldier system and the cook is in charge of cooking for them. And people who belong to the same cook are actually ＂Partners＂.     

China''''s Stock Market Wave

The annual meeting of the World Economy Forum was held in Davos,a little town in Switzerland,on January 23rd to the 27th this year,with the theme"the Power fo Collaborative Innovation",over 2500 celebrates from ture political and cconomic circles of more than 80 countries and challengred logether to talk about the future of the global economy in 2008,A Forum for the problems and challenges that face whole world,some of the keywords which drew attention during the event were:the U.S.subprime mortgage crisis,soaring energy prices,the economic slowdown in the U.S.ermerging economic bodies,authority funds and the general unpredictable nature of the global economy.     

Trade Promotion from Neighborhood

If you are considering to trade with companies in Japan or expanding your .business to Japan, we are ready to help from the very beginning.＂ You will find this greeting at the first sight on the Chinese website of Japan External Trade Organization （JETRO）. JETRO has committed itself in delivering highly efficient and quality services to meet the demand of internal and external customs including Japanese companies, hence winning a good reputation in the international trade arena. In recent years, with its priority in advancing business cooperation in South and East Asia, JETRO has made great achievement in promoting trade between China and Japan. Therefore, China＇s Foreign Trade interviewed Mr. Yoichi Maine, Deputy Director General of JETRO BEIJING.     

Auto Parts Market Potential Coming into Surface

Looking at the increasingly fierce competition in the world auto market. global automobile manufacturing industry, taking Europe, the U.S. and Japan as representatives, is gradually forming a new type of relationship, mutual cooperation between whole vehicle and parts manufacturers. We can clearly see that auto parts manufacturers have become independent from the whole vehicle manufacturing companies, which means that the former structure of auto industry has greatly changed, and a new relationship,     

China's Auto Industry Steps Forward

Last year,the volume of China's auto trade reached US$66.878 bil- lion,of which imports accounted for US$25.982 billion,a year-on- year increase of 24.45 percent;while ex- ports totaled US$40.896 billion,growing by 45.31 percent.The China Association of Automobile Manufacturers(CAAM) predicts that the number of autos sold in 2008 will break the 1 million barrier for the first time in history,representing an increase of about 20 percent.     

Domino Effect on Electricity and Coal Prices

In the middle of last December, the key purchase contracts for coal used in power generation in 2008 were signed, reflecting a demand for more than 1.085 billion tons. It is important to note that the country＇s five biggest power producers, China Huaneng Group, China Guodian Corporation, China Power Investment Corporation, China Huadian Corporation and China Datang Corporation, had settled on the prices on their purchase contracts, and they are expected to consume 290 million tons of coal for generating electricity,