ID 原文 译文
22275 利用线性反投影算法(LBP 算法)所得图像预估原始图像稀疏度，以预估稀疏度值作为索引原子初始值进行稀疏度自适应迭代。 By using the Linear Back Projection (LBP) algorithm, the sparsity of the estimated images is confirmed. The sparsity can be served as the initial value of the atomic index for sparsity adaptive iteration.
22276 改进后的稀疏度自适应匹配追踪重构算法实现 ECT 图像重建，解决了稀疏度预估不准确导致重建图像精度差的问题。 The lack of image reconstruction accuracy caused by the inaccurate estimate of sparsity can be solved by the improved sparsity adaptive matching pursuit algorithm.
22277 仿真实验结果表明，该算法可以有效重建 ECT 图像，其成像质量优于 LBP 算法、Landweber 算法、Tikhonov 算法等传统算法，是研究电容层析成像图像重建的一种新的方法和手段。 Simulation results indicate that reconstructed images with higher accuracy can be obtained using the improved sparsity adaptive matching pursuit compressed sensing algorithm than the LBP algorithm, Landweber algorithm and Tikhonov algorithm. A new method of ECT reconstruction is provided.
22278 线性调频(LFM)信号是一种被广泛应用的大时宽带宽积信号，利用 LFM 信号的多样性可设计多输入多输出(MIMO)雷达的正交波形。 Due to the large time-bandwidth product, Linear Frequency Modulation (LFM) signals are widely used, and their diversity can be applied to orthogonal waveform set design for MIMO radar.
22279 该文针对现有波形相关函数存在的问题，以理论分析为基础，提出一种基于 LFM 时宽的发射波形，并给出了一种相应的正交波形设计方法。 To solve the problems of the correlation functions of the existing waveforms, detailed analysis is made, a new waveform based on chirp durations is proposed, and the orthogonal waveform set design method is given subsequently.
22280 该方法以峰值旁瓣电平为准则，利用序列二次规划对各子脉冲 LFM 信号的时宽进行优化设计。 Peak sidelobe level is calculated for the cost function, the chirp durations of subpulses are optimized by Sequential Quadratic Programming (SQP).
22281 仿真结果表明，与现有方法相比，所设计波形具有较低的自相关旁瓣电平和互相关电平。 Simulation results show that the designed waveforms have lower autocorrelation sidelobe level and crosscorrelation level compared with the present method.
22282 此外，通过数值实验分析了相关性能随波形个数及子脉冲个数的变化关系。 In addition, relationships among autocorrelation sidelobe level, crosscorrelation level and the size of orthogonal waveforms are studied via numerical experiments.
22283 在分时长期演进(TD-LTE)室内分布式网络中，不同位置上的信号差异性不明显，仅利用标定参考点不能实现准确位置估计。 In the Time Division Long Term Evolution (TD-LTE) indoor distributed network, the signal differences among different positions are insignificant, thus accurate localization can not be achieved by reference point calibration.
22284 该文针对 TD-LTE 室内分布式网络下不同位置处的信号相似性问题，提出基于相关性测序的定位算法。 To solve this compelling problem, this paper proposes a correlation sequencing based localization algorithm.