OPTIMIZATION OF WEIGHTED HIGH-RESOLUTION RANGE PROFILE FOR RADAR TARGET RECOGNITION

For the recognition of high-resolution range profile （HRRP） in radar, the weighted HRRP can reduce the instability of range cells caused by the attitude change of targets. A novel approach is proposed to optimize the weighted HRRP. In the approach, the separability of weighted HRRPs in different targets is measured by de- signing an objective function, and the weighted coefficients are computed by using the gradient descent method, thus enhancing the influence of stable range cells. Simulation results based on five aircraft models show that the approach can effectively optimize the weighted HRRP and improve the recognition accuracy.

Radar high resolution range profile recognition via multi-SV method

For radar high resolution range profile (HRRP) recognition, three aspects are of great importance to improve the performance, i.e. discrimination for outlier, classification for inner and an accurate description for feature space. To tackle these issues, a novel target recognition method is designed, denoted by the multiple support vectors (multi-SV) method. With the proposed method, a special framework is constructed by a treble correlate support vector model to segment the feature space to two regions with the distribution of density, and then the description and classification hyperplane for each region are achieved. Based on the support vector framework, this method needs less memory and computation complexity to fit practical radar HRRP recognition. Finally, the experiment based on the measured data verifies the excellent performance of this method.

High resolution range profile analysis based on multicarrier phase-coded waveforms of OFDM radar

Orthogonal frequency division multiplexing（OFDM） radar with multicarrier phase-coded waveforms has been recently introduced to achieve high range resolution.The conventional method for obtaining the high resolution range profile（HRRP） is based on matched filters.A method of synthesizing HRRP based on the fast Fourier transform（FFT） and decoding is proposed.The mathematical expressions of HRRP are derived by assuming an elementary scenario of point-scattering targets.Based on the characteristic of OFDM multicarrier signals,it mainly analyzes the influence on HRRP exerted by several factors,such as velocity compensation errors,the sampling frequency offset,and so on.The conclusions are significant for the design of the OFDM imaging radar.Finally,the simulation results demonstrate the validity of the conclusions.

Research of Velocity Compensation Method Based on Range Profile Feature

In this paper,based on the feature of high resolution one-dimensional range profile,two effective motion compensation methods are presented. Firstly,the processing method of stepped-frequency and the response of target moving to range profile are analyzed. Secondly,the function of range profile entropy and range profile contrast are presented for velocity compensation,and then the theory analysis,math model,and solution method are analyzed in detail. Finally,several simulation experiments are designed to prove the accuracy and effectiveness of these two methods. From the final theory analysis and simulation experiments,the conclusion can be drawn that these two methods are effective,which can get much higher velocity estimation accuracy,well real-time and easy to be used in project application. After motion compens-ation,the high resolution one-dimensional range profile will be much better than that used to be,and is used for the detection, recognition and ranging of moving targets.

HIGH RESOLUTION RANGE PROFILE FORMATION BASED ON LFM SIGNAL FUSION OF MULTIPLE RADARS

This paper presents a new method of High Resolution Range (HRR) profile formation based on Linear Frequency Modulation (LFM) signal fusion of multiple radars with multiple frequency bands. The principle of the multiple radars signal fusion improving the range resolution is analyzed. With the analysis of return signals received by two radars,it is derived that the phase difference between the echoes varies almost linearly with respect to the frequency if the distance between two radars is neg-ligible compared with the radar observation distance. To compensate the phase difference,an en-tropy-minimization principle based compensation algorithm is proposed. During the fusion process,the B-splines interpolation method is applied to resample the signals for Fourier transform imaging. The theoretical analysis and simulations results show the proposed method can effectively increase signal bandwidth and provide a high resolution range profile.

Length estimation of extended targets based on bistatic high resolution range profile

The approach to estimate the length of extended targets by using the bistatic high resolution range profile（ H RRP） is analyzed in this paper. The relationship between the bistatic H RRP and the monostatic H RRP of extended targets are investigated. It is demonstrated by simulations that the target length measured by the bistatic H RRP is more meaningful and accurate than that by the monostatic HRRP,though the monostatic H RRP has been well developed and widely used in target recognizing and classification. The estimation results of a cone shaped target are present and compared at the end of the paper. To assure the reliability of the simulation,the bistatic H RRP is obtained through the scattering field data calculated by a fullwave numerical method,FE-BI-MLFMA.

Wideband MIMO Radar Waveform Optimization Based on Range Profile

Aiming at the signal bandwidth design problem for multi-target imaging task,a kind of multiple input multiple output(MIMO)radar waveform design method is proposed.At first,the closed-loop feedback between the range profile and the signal bandwidth,which can design the minimum bandwidth of a transmitting signal that can distinguish each scatterer of the target in range direction,is established.Then,considering the request of beam pattern and the bandwidth limitation,a waveform optimization model is established and solved.Therefore,the multi-target observation and the dynamic adjustment of the signal bandwidth are accomplished.In the end,the simulation results prove the performance of the algorithm in a low SNR circumstance.

Multichannel noncoherent integration detection using high range resolution profile

A multichannel noncoherent integration detection method based on high range resolution profile was presented in this paper. According to the property of the moment generating function, the distribution characteristics of the noncoherent integrated signals with or without target presence were derived under the circumstance with noncorrelated Gaussian distribution noises. The loss of noncoherent integration was due to improper selection of integration range of cell numbers. A multi channel noncoherent integration detection scheme where the integration number in each channel va ries was proposed to solve this problem. The quality of this method for detection of various targets was evaluated. A comparison of fixed integration range cell number detection and multichannel inte gration detection for a high range resolution profile was presented. Simulation results indicated that the principle of the method was correct and performed well for unknown physical dimension targets. The method required little prior knowledge about target and was convenient for practical implementa tion.

Schemes for synthesizing high-resolution range profile with extended OFDM-MIMO

Two novel schemes are proposed to synthesize high resolution range profile (HRRP) based on co-located multiple-input multiple-output (MIMO) system in the context of the joint radar and communication system. The difference between two schemes is the pattern of selecting pulses, which depends on the demand for the velocity information. The system, a type of frequency diverse array (FDA), takes full advantage of the phase-coded orthogonal frequency division multiplexing (OFDM) signal. Furthermore, the complete discrete form of the phase-coded OFDM echoes is utilized to derive the HRRP processing. The velocity estimation in the second scheme aims to eliminate velocity ambiguity, and high velocity can be retrieved exactly. Meanwhile, the imaging method is investigated with random frequency coding applied to an array. The desired performance of resolving velocity ambiguity and suppressing noise is shown by means of comparisons with previous work. The advantages in the radar imaging and the significance of the work are concluded in the end.

THE INFLUENCE OF SPECKLE ON HIGH RESOLUTION RANGE PROFILE RECOGNITION BASED ON THE MATCHING SCORE

Template database is the key to radar automation target recognition based on High Resolution Range Profile (HRRP). From the traditional perspective, average HRRP is a valid template for it can represent each HRRP without scatterer Moving Through Range Cell (MTRC). However, template database based on this assumption is always challenged by measured data. One reason is that speckle happens in the frame without scatterer MTRC. Speckle makes HRRP fluctuate sharply and not match well with the average HRRP. We precisely introduce the formation mechanism of speckle. Then, we make an insight into the principle of matching score. Based on the conclusion, we study the properties of matching score between speckled HRRP and the average HRRP. The theoretical analysis and Monte Carlo experimental results demonstrate that speckle makes HRRP not to match well with the average HRRP according to the energy ratio of speckled scatterers. On the assumption of ideal scattering centre model, speckled HRRP has a matching score less than 85% with the average HRRP if speckled scatterers occupy more than 50% energy of the target.

Feature Extraction of Radar Range Profiles Based on Normalized Central Moments

The normalized central moments are widely used in pattern recognition because of scale and translation invariance. The moduli of normalized central moments of the 1-dimensional complex range profiles are used here as feature vector for radar target recognition. The common feature extraction method for high resolution range profile obtained by using Fourier-modified direct Mellin transform is inefficient and unsatisfactory in recognition rate And. generally speaking, the automatic target recognition method based on inverse synthetic aperture radar 2-dimensional imaging is not competent for real time object identification task because it needs complicated motion compensation which is sometimes too difficult to carry out. While the method applied here is competent for real-time recognition because of its computational efficiency. The result of processing experimental data indicates that this method is good at recognition.

Eigen-Range Profiles for Radar Target Classification

A new millimet er-wave radar target classification approach based on Eigen-Range Profiles is proposed. Comparing with the conventional matching score approach, it has better classification performance, lower storage and computational requirements owing to the reduction of the target class number in data base. The results have verified the validity of this approach.

A Target Recognition Approach to Projecting HRR Profiles onto Subspace

Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Takingthe methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Where-upon, a template library for target recognition is built by the projection of a class-mean vector made from the radar dataonto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and eachtemplate in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar dataarte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noisewhen SNR≥5dB.

RESEARCH ON MOTION COMPENSATION FOR HIGH RESOLUTION PROFILE OF EXTENDED TARGET FOR STEPPED CHIRP RADAR AND DSP IMPLEMENTATION

A discrete model is set up for High Resolution Range Profile (HRRP) of an extended target and the model of echo from an extended target for a Stepped Chirp Radar (SCR) is proposed. The effect of target motion on a range profile is thoroughly analyzed, and based on which precision re- quirement is developed for motion compensation. By studying the time domain correlation and the rule based on the least burst error, a motion compensation algorithm which satisfies the project requirement is presented, and the cyber-emulation confirms the conclusion. At last the processor is designed by using DSP devices to realize motion compensation and target recognition.

The Importance of the Similarity of Profiles of Companies-Partners in the Process of Post-transaction Integration

The aim of this article is to find an answer to the question： Does the similarity of the profiles of companies participating in the acquisition influence the post-transaction integration？ While creating a research concept, a hypothesis was adopted that the range and the dynamics of the post-acquisition integration are higher, if the companies are similar as far as their sizes, structures, life cycles, and organizational cultures are concerned. Five acquisitions from the pharmaceutical sectors were examined. The results presented in this paper are a part of wider research on consolidation processes in the pharmaceutical branch. In each case, the research had a retrospective character. In order to assess the integration activities, the research was conducted three years after the transaction. An inductive analysis of case study type was used and the technique of research triangulation was applied. A part of the research used for the needs of this paper was conducted by the means of two methods： individual in-depth interviews with the presidents/managing directors of the companies which were taken over and panel interviews in which the presidents and managing directors as well as director and managers of the development units, managers of organization as well as the directors/managers of human resource units of the acquired companies participated. The analysis of the profiles of similarity of companies-transaction partners showed that although they belonged to the same branch, the analyzed companies are characterized by a low level of similarity, especially as far as the structures and organizational cultures are concerned. The strategy of functioning after the merger is based in the majority of cases on the model of partnership. It takes for granted a low level of integration referring only to some selected areas and is connected with an adoption of a long-term integration perspective foreseen for a period longer than three years of functioning in the merged structure.

基于高分辨一维距离像及其特征的空间目标识别效果分析

目标高分辨一维距离像(High Resolution Range Profile,HRRP)中包含了丰富的目标尺寸、结构等目标特征,是进行空间目标身份识别的有效途径。但由于卫星宽带雷达实测数据获取难度大,前期相关研究多集中于基于HRRP的目标识别算法,结论也多是基于仿真数据和少量类别(几类)的前提下得到的,与工程应用实际情况有较大差距,工程指导意义有限。为解决这一问题,基于地基雷达获取的30类卫星目标的大量一维距离像实测数据,从识别正确率的角度对目标HRRP及其特征(组合)的可分性和在空间目标个体识别中的应用效果进行了量化分析,分析结果可为后续基于HRRP的空间目标个体识别技术研究和工程应用提供可靠依据。

宽带复合双基地雷达舰船目标长度估计方法

舰船目标长度特征对舰船目标识别具有重要作用,该文提出一种基于宽带复合双基地雷达联合观测的舰船目标长度估计方法。该方法综合利用单/双基地雷达高分辨距离像(HRRPs)长度,结合双基地雷达-舰船之间的空间关系求解,实现了单次测量估计舰船目标的实际长度,并分析了各种误差因素和几何构型条件下的估计误差。典型场景动态仿真证明了所提方法的有效性,结果表明在高分辨距离像长度误差小于5%条件下,舰船目标长度估计误差小于5%,为舰船目标特征提取与识别提供了新思路。

基于语义引导层次化分类的雷达地面目标HRRP识别方法

高分辨距离像(HRRP)反映了目标空间散射结构在雷达视线方向的投影,近年来被认为是地面目标识别的重要途径。现有的HRRP识别方法采用手工特征加传统机器学习分类器,均属于平面分类方法,即采用统一标准不加区别的优选特征并单次决策最终类别。然而该方法在实际应用中面临种类繁杂、数据不平衡、HRRP姿态敏感性等诸多问题,难以获取最佳的应用效果。层次化方法采取分而治之思想,将一个复杂的细粒度识别任务拆解为多个简单的识别子任务。本文采用层次化识别的思路,提出了一种基于语义引导层次化分类的雷达地面目标识别方法。该方法以联合语义和数据构建的树形结构将一个复杂的细粒度识别任务拆解为多个简单的识别子任务,并针对每一个识别子任务匹配一套优选特征集和一个局部分类器。本方法在仿真数据和实测数据上完成了验证。实验结果表明了本文方法处理地面目标识别任务的有效性。

基于动态血糖监测结果评价门诊教育对2型糖尿病患者血糖谱的影响研究

背景 动态血糖监测(CGM)在门诊患者治疗中应用较少,基于CGM进行糖尿病教育,改变不良的生活、饮食习惯对血糖谱的影响尚不清楚。目的 基于回顾性CGM结果,对使用口服降糖药的门诊2型糖尿病(T2DM)患者进行饮食、运动等门诊教育,评价其对患者血糖谱的影响。方法 选取2021于南京市第一医院内分泌科门诊就诊使用口服降糖药的T2DM患者88例,其中男60例、女28例,给予CGM。入组患者给予门诊教育,即第1~3天维持原降糖治疗方案及生活习惯;第4天下载并分析CGM数据,结合患者饮食、运动等门诊教育,第6天取下CGM传感器和记录器,下载数据。比较第2天和第5天动态血糖数据[24 h平均血糖(MBG),平均血糖波动幅度(MAGE),葡萄糖目标范围内时间(TIR)]。结果 基于CGM结果,给予门诊教育后(第5天)T2DM患者的MBG由(8.34±1.97)mmol/L下降到(7.85±1.65)mmol/L,TIR由(78.21±24.64)%上升到(84.28±21.87)%,MAGE由(4.53±2.25)mmol/L下降到(3.80±1.80)mmol/L(P<0.05)。按糖尿病病程、年龄进行分层分析:病程<10年组(62例)和病程≥10年组(26例)干预后MBG均较干预前降低,干预后病程<10年组标准差(SD)、MAGE、TAR较干预前降低,TIR较干预前升高(P<0.05);按年龄分为<65岁组(55例)和≥65岁组(33例),两组干预后MBG、TAR较干预前降低,TIR较干预前升高,干预后<65岁组SD、MAGE较干预前降低(P<0.05)。结论 基于CGM结果,对使用口服降糖药物的门诊T2DM患者进行饮食、运动等门诊教育,可以有效改善患者MBG、提高TIR水平,改善血糖变异度;<65岁、糖尿病病程<10年的患者获益更大。

距离像先验引导的扩展目标检测方法

扩展目标检测通常采用距离像能量积累检测的方法,由于距离像信息掌握不完备,陷落损失会降低检测性能。本文提出一种距离像先验引导的扩展目标检测方法,通过利用距离像包络模先验,对信号进行积累以提升检测性能。该方法考虑了复距离像与复高斯白噪声的相干叠加与相位预测不准的因素,采用将观测数据取模的检测模型,基于似然比检测(Likelihood Ratio Test,LRT)理论推导了低信噪比下的特征平方匹配检测器。该检测器将目标复距离像的包络模与观测数据的包络模进行平方匹配,并通过门限判决来判断目标是否存在。包络模先验的获取是通过从ISAR图像提取二维散射中心,向对应姿态角下的雷达视线方向进行投影,来获得目标近似的一维散射中心模型,再由该模型进一步生成目标距离像的包络模先验。同时,本文从理论与实验两方面分析了能量检测器和特征平方匹配检测器之间的关系,通过散射中心模型重构与暗室测量的方法获取数据进行了实验验证。实验结果表明:在低信噪比下,距离像先验引导的特征平方匹配检测器能有效提升目标的检测性能,并且对先验模型失配的情况具有良好的适应性。