A novel range-Doppler imaging algorithm with OFDM radar

Traditional pulse Doppler radar estimates the Doppler frequency by taking advantage of Doppler modulation over different pulses and usually it requires a few pulses to estimate the Doppler frequency. In this paper, a novel range-Doppler imaging algorithm based on single pulse with orthogonal frequency division multiplexing(OFDM) radar is proposed, where the OFDM pulse is composed of phase coded symbols. The Doppler frequency is estimated using one single pulse by utilizing Doppler modulation over different symbols, which remarkably increases the data update rate. Besides, it is shown that the range and Doppler estimations are completely independent and the well-known range-Doppler coupling effect does not exist. The effects of target movement on the performances of the proposed algorithm are also discussed and the results show that the algorithm is not sensitive to velocity. Performances of the proposed algorithm as well as comparisons with other range-Doppler algorithms are demonstrated via simulation experiments.     

A novel variable structure multi-model approach based on error-ambiguity decomposition

Model Set Adaptation (MSA) plays a key role in the Variable Structure Multi-Model tracking approach (VSMM). In this paper, the Error-Ambiguity Decomposition (EAD) principle is adopted to derive the EAD-MSA criterion that is optimal in the sense of minimizing the square error between the estimate and the truth. Consequently, the EAD Variable Structure first-order General Pseudo Bayesian (EAD-VSGPB1) algorithm and the EAD Variable Structure Interacting Multiple Model (EAD-VSIMM) algorithm are constructed. The proposed algorithms are tested in two groups of maneuvering target tracking scenarios under different modes and observation error conditions. The simulation results demonstrate the effectiveness of the EAD-VSMM approach and show that, compared to some existing multi-model algorithms, the proposed EAD-VSMM algorithms achieve more robust and accurate tracking results.     

一类有理递归序列的简单性态

在Alaa E.Hamza和A.Morsy Alaa等有关有理递归序列xn+1=α+xn-1xkn,n=0,1,2,…的稳定性研究的基础上,对时滞为k的情形做了进一步讨论,研究了有理递归序列xn+1=α+xn-kxmn的全局性和有界性,得到了关于该递归序列稳定性的几个判定定理。     

复合材料结构的低功耗冲击区域监测方法

复合材料凭借优异性能而被广泛应用于民用飞机结构,但复合材料结构可能会因冲击而产生内部损伤并严重降低结构的性能。因此,以低功耗方法不间断地对飞行器复合材料结构进行冲击监测就显得尤为关键。面向机载提出了一种基于反向加权和的低功耗冲击区域定位算法,该算法基于数字化冲击监测原理,依据冲击响应数字序列进行冲击事件的区域定位。算法运算过程简单高效,便于通过嵌入式软件编程至核心处理器,并显著减少在核心处理器执行算法所需的功耗、时间和存储空间,有利于冲击监测系统的低功耗设计和应用。此外,将算法应用在低功耗小型化冲击监测系统中,并评估了冲击区域定位算法在复合材料机翼盒段结构上的准确率。评估结果显示,低功耗冲击区域监测方法可以准确的监测每次冲击事件,且冲击区域定位准确率达到了96%。     

平面磨削石英陶瓷比磨削能正交试验研究

通过大量的正交试验,研究陶瓷材料在低速下的磨削性能,优化陶瓷磨削参数,对于丰富陶瓷磨削理论,指导实际生产实践具有重要的现实意义.     

正交频分复用系统中一种抗多径衰落的联合时频同步算法

在正交频分复用(Orthogonal frequency division multiplexing,OFDM)通信系统中提出了一种基于新颖训练序列的同步算法.该训练序列只使用了一个OFDM符号,并且具有中心对称和前后部分一致的双重结构.在进行完粗定时同步和小数倍频率同步后,使用逆快速傅里叶变换(IFFT)运算来进行精...     

Feedback structure based entropy approach for multiple-model estimation

The variable-structure multiple-model（VSMM）approach,one of the multiple-model（MM）methods,is a popular and effective approach in handling problems with mode uncertainties.The model sequence set adaptation（MSA）is the key to design a better VSMM.However,MSA methods in the literature have big room to improve both theoretically and practically.To this end,we propose a feedback structure based entropy approach that could fnd the model sequence sets with the smallest size under certain conditions.The fltered data are fed back in real time and can be used by the minimum entropy（ME）based VSMM algorithms,i.e.,MEVSMM.Firstly,the full Markov chains are used to achieve optimal solutions.Secondly,the myopic method together with particle flter（PF）and the challenge match algorithm are also used to achieve sub-optimal solutions,a trade-off between practicability and optimality.The numerical results show that the proposed algorithm provides not only refned model sets but also a good robustness margin and very high accuracy.     

基于粒子滤波的红外弱小多运动目标检测

针对低信噪比条件下红外图像序列中的多个弱小运动目标检测问题,提出了一种基于粒子滤波的多目标检测前跟踪方法.首先分析了红外图像的状态及观测模型,然后将弱小运动目标的检测转化为贝叶斯滤波框架下的检测前跟踪,并利用多个粒子滤波器予以实现.为了评估该算法的有效性,采用人工合成的红外图像序列对其进行测试,结果说明该算法可同时处理低信噪比条件下的多个弱小运动目标,检测和跟踪性能良好.     

航空发动机闭环辨识研究

 本文介绍了在航空发动机闭环控制系统的反馈通路上施加伪随机试验信号时,对发动机模型参数进行辨识的方法。同时还介绍了对辨识试验所录取信号的相关分析与谱分析,以此来证明所录取信号的正确性。在用Hsia法进行辨识处理后得到了发动机的数学模型。最后通过对模型的验证表明辫识结果是满意的。     

基于复合扩频序列的声光快捕方法

针对扩频伪码捕获时间长、占用资源大的缺点,提出基于复合扩频序列的声光快捕方法。该方法利用复合扩频序列的相关特性及声光技术处理具有高增益的特点,实现在射频上直接对低信噪比信号进行检测,实现简单并可节约大量资源。理论分析与仿真表明,采用声光技术的扩频系统能实现对低信噪比伪码的快速捕获。