气象雷达通用测试台的设计与实现

采用自动测试和综合仿真技术,解决了对雷达的多路被测信号的选择和陀螺平台的模拟等问题,适用于部分气象雷达的故障检测和性能测试,实现对雷达天线、收发机和显示器的自动测试;采用高灵敏度温度传感器、过压过流检测等多种保护措施,满足被测雷达对电源的特殊要求;其智能化程度高,操作简便,实用,可以减少维修检测的人为误差,对于提高飞行安全具有及其重要的意义,因此推广应用前景好,经济效益明显,填补了国内气象雷达检测设备的空白。     

On guiding the augmentation of an automated test suite via mutation analysis

Mutation testing has traditionally been used as a defect injection technique to assess the effectiveness of a test suite as represented by a “mutation score.” Recently, mutation testing tools have become more efficient, and industrial usage of mutation analysis is experiencing growth. Mutation analysis entails adding or modifying test cases until the test suite is sufficient to detect as many mutants as possible and the mutation score is satisfactory. The augmented test suite resulting from mutation analysis may reveal latent faults and provides a stronger test suite to detect future errors which might be injected. Software engineers often look for guidance on how to augment their test suite using information provided by line and/or branch coverage tools. As the use of mutation analysis grows, software engineers will want to know how the emerging technique compares with and/or complements coverage analysis for guiding the augmentation of an automated test suite. Additionally, software engineers can benefit from an enhanced understanding of efficient mutation analysis techniques. To address these needs for additional information about mutation analysis, we conducted an empirical study of the use of mutation analysis on two open source projects. Our results indicate that a focused effort on increasing mutation score leads to a corresponding increase in line and branch coverage to the point that line coverage, branch coverage and mutation score reach a maximum but leave some types of code structures uncovered. Mutation analysis guides the creation of additional “common programmer error” tests beyond those written to increase line and branch coverage. We also found that 74% of our chosen set of mutation operators is useful, on average, for producing new tests. The remaining 26% of mutation operators did not produce new test cases because their mutants were immediately detected by the initial test suite, indirectly detected by test suites we added to detect other mutants, or were not able to be detected by any test.

基于FMCW雷达的多人心率呼吸检测

针对目前毫米波雷达应用于多人生命体征检测效果不佳, 检测范围小等缺点, 提出了一种多人心率呼吸提取分离方法, 首先采用Capon波束成形技术对非目标区域信号形成零陷, 对目标区域进行提取相位、相位解缠绕操作; 其次利用自适应谐波跟踪算法滤除噪声; 最后使用粒子群算法和样本熵改进的变分模态分解法(PSO-SE-VMD)对信号进行分解得到模态分量, 选取合适的模态分量并通过短时自相关算法提取心率呼吸. 实验结果表明, 该方法在夹角30°和60°时心率的均方误差分别为5.55和3.15, 实现了多人检测并有效提高了检测范围.     

基于USB总线的机载多脉冲激光雷达产品测试系统研制

针对现有的机载激光雷达产品测试系统不能模拟特定信噪比,且系统使用复杂的问题,开发了基于USB总线的机载多脉冲激光雷达产品测试系统;测控软件可以设定信噪比、脉冲幅值、脉冲周期等参数,并根据静态测距和动态测距的实际需要,生成静态和动态模拟数据;另外,测试系统还能够采集外场数据,并在测控计算机上存储和分析;采集和生成的数据经过USB总线发送给基于FPGA+高速D/A转换器架构的数据转换器,再输出给激光雷达产品,保证了数据传输的高速性和灵活性;经过测试表明,信噪比在3~9的情况下,产生回波信号的距离误差控制在1%以内,信号幅值误差控制在0.5%以内;测试系统的各项指标都满足实际需要,为激光雷达产品调试提供了良好的模拟仿真平台。     

基于ACO和SPN的FMS故障诊断和可用性评价方法

提出一种柔性制造系统(FMS)的故障诊断和可用性评价方法;针对传统的随机Petri网在解决FMS故障诊断上极大受限于底层马尔科夫链规模而容易产生状态爆炸的问题,首先,将蚁群优化算法(ACO)融入随机有色网(SPN)中,提出并定义了一种能对柔性制造系统的故障进行诊断的诊断器;然后,通过马尔科夫链计算制造单元的可用性,得到FMS到诊断器的映射,从而可以得到FMS中所有可能生产过程;最后,在经典FMS可用性评价方法的基础上,引入覆盖因子,提出了一种新的对FMS生产过程进行可用性评价的方法;仿真实验显示了覆盖因子对系统可用性的影响,通过与传统方法进行比较,表明覆盖因子越大,FMS的可用性越高。     

伪码调相雷达高度表中多径信号抑制算法研究

多径误差是伪码调相雷达高度表中重要的误差源之一,为了提高系统的测距精度,建立了采用strobe相关器的伪码跟踪环数学模型,给出了其实现的结构框图;在考虑单路多径信号的基础上分析了多径信号的参数对伪码跟踪环的跟踪误差的影响,并在Matlab环境下对伪码跟踪环的跟踪性能进行了仿真;仿真结果表明在相同的多径参数条件下,strobe相关器可以有效地减小多径引起的跟踪误差,性能优于窄相关器,运算量较多径估计延迟锁定环要小,易于在硬件上实时实现,具有实际应用价值。     

雷达抗干扰性能评估指标分析与测试平台设计

复杂电磁环境下雷达抗干扰性能外场实验通常具有复杂度高、设备代价高昂的问题。通过分析雷达电磁环境组成和相关评估指标,在综合一系列雷达对抗想定的基础上,提出了雷达对抗性能测试系统设计方案。该系统利用高速DSP和ARM终端显示控制灵活实现雷达干扰样式选择和参数设置。有效地解决了雷达状态信息采集、回波信号实时模拟以及战场环境想定的显控终端控制。研究了多种性能评估指标的具体测试方法,分析了影响干扰效果的关键性因素。结合具体雷达设备进行了雷达抗干扰半实物仿真实验,实验和数据处理结果证明了测试方法的有效性和可行性。该方法为解决有限设备条件下雷达抗干扰性能评估、雷达系统改进提供了参考依据。     

结合语句执行补集的程序错误定位

基于频谱的错误定位方法一般利用覆盖信息为每条语句度量出错的可能,即可疑度,通过逐条检查按可疑度值降序排列的语句序列来确定错误语句.针对已有的方法大多只考虑覆盖信息中语句执行信息的问题,分析了语句执行补集对错误定位的积极影响,进一步提出了在语句执行信息基础上结合语句执行补集的错误定位方法.实验结果表明,与其他方法相比,所...     

Soil moisture estimation over vegetated terrains using multitemporal remote sensing data

A new method for retrieving soil moisture content over vegetated fields, employing multitemporal radar and optical images, is presented. It is based on the integration of the temporal series of radar data within an inversion scheme and on the correction of the vegetation effects. The retrieval algorithm uses the Bayesian maximum posterior probability and assumes the existence of a relation among the soil conditions at the different times of the series. The correction of the vegetation effects models the variation, with respect to the initial time of the series, of the component of the backscattering coefficient due to the soil characteristics as function of the variations of the measured backscattering coefficient and of the biomass. The method is tested on the data acquired throughout the SMEX02 experiment. The results show that measured and estimated soil moistures are fairly well correlated and that the performances of multitemporal retrieval algorithm are better than those obtained by employing one radar acquisition, especially in terms of capability to detect soil moisture changes. Although the approach to correct the vegetation effects on radar observations needs to be further assessed on different sets of data, this finding demonstrates that the proposed method has a potential to improve the quality of the soil moisture retrievals.