MIMO格密码的设计与实现

对大规模MIMO物理层安全通信进行了研究,提出了一种基于OAEP+算法的MIMO格密码实现方案。在适当的限制条件下,可将窃听者对大规模MIMO的解码复杂性问题归约为解标准格问题。由于在方案设计中利用格密码和OAEP+密码的特性,使得所提方案具有抗量子计算攻击和选择性密文攻击的能力,并且合法通信双方不需要预共享密钥,有效地简化密钥管理。在Matlab中对所提方案进行了仿真实现,仿真结果证明了该方案的可行性。另外,仿真计算结果显示在格基归约算法下MIMO信道可计算保密容量跟发射天线数目之间呈较强的线性关系。     

Multicore implementation of a multichannel parallel graphic equalizer

Numerous signal processing applications are emerging on mobile computing systems. These applications are subject to responsiveness constraints for user interactivity and, at the same time, must be optimized for energy efficiency. Many current embedded devices are composed of low-power multicore processors that offer a good trade-off between computational capacity and low power consumption. In this context, equalizers are widely used in multiple mobile-based applications such as “Music streaming” to adjust the levels of bass and treble in sound reproduction. In this study, we evaluate a graphic equalizer from audio, computational capacity, and energy efficiency perspectives, as well as the execution of multiple real-time equalizers running on an embedded quad-core processor of a mobile device. To this end, we experiment with the working frequencies as well as the parallelism that can be extracted from a quad-core ARM Cortex-A57. Results show that using high CPU frequencies and three or four cores, our parallel algorithm is able to equalize more than five channels per watt in real time with an audio buffer of 4096 samples, which implies a latency of 92.8 ms at the standard sample rate of 44.1 kHz.

     

Extreme learning machine-based receiver for MIMO LED communications

This work concerns receiver design for light-emitting diode (LED) multiple input multiple output (MIMO) communications where the LED nonlinearity can severely degrade the performance of communications. We firstly propose an extreme learning machine (ELM) based receiver to jointly handle the LED nonlinearity and cross-LED interference. Then, by taking advantage of the features of the ELM, we propose to use a circulant structure for the input weight matrix and the fast Fourier transform (FFT) for implementation, leading to significant computational complexity reduction. It is demonstrated that, the proposed ELM based receivers can handle the nonlinearity and interference much more effectively compared to conventional techniques, and the low complexity ELM-based receiver with circulant input matrix delivers almost the same performance as the receiver based on the conventional ELM.     

Space-time coding and signal processing for MIMO communications

Rapid growth in mobile computing and other wireless multimedia services is inspiring many research and development activities on high-speed wireless communication systems.Main challenges in this area include the development of efficient coding and modulation signal processing techniques for improving the quality and spectral efficiency of wireless systems.The recently emerged space-time coding and signal processing techniques for wireless communication systems employing multiple transmit and receive antennas offer a powerful paradigm for meeting these challenges.This paper provides an overview on the recent development in space-time coding and signal processing techniques for multiple-input multiple-output (MIMO) communication systems.We first review the information theoretic results on the capacities of wireless systems employing multiple transmit and receive antennas.We then describe two representative categoriesof space-time systems,namely,the BLAST system and the space-time block coding system,both of which have been proposed for next-generation high-speed wireless system.Signal processing techniques for channel estimation and decoding in space-time systems are also discussed. Finally,some other coding and signal processing techniques for wireless systems employing multiple transmit and receive antennas that are currently under intensive research are also briefly touched upon.     

Multicore implementation and performance analysis of a chaos based LSB steganography technique

Microsystem Technologies - Temporal complexity of data security algorithms for information exchange on internet is becoming a daunting challenge. Performance enhancement of these algorithms using...     

排序QR分解MIMO检测器在FPGA中的实现

对于MIMO系统而言,其复杂度主要集中在检测上。在分析现有MIMO检测算法的基础上,给出了一种新的基于Givens旋转的排序QR分解检测器的实现方法。该方法通过将复数域的矩阵进行对称变换,转化到实数域进行QR分解,大大降低了运算量。依据上述方法,给出了硬件实现流程和模块结构图。软件仿真和硬件实现结果表明该检测方法在保证检测性能的基础上,大大降低了其硬件实现的复杂度,节省了FPGA中宝贵的乘法器资源和逻辑资源,保证了后续MIMO原理样机的研制。     

归一化互相关灰度图像匹配的多核信号处理器实现

为了满足图像处理对处理器性能的高要求,以基于灰度的归一化互相关(NCC)匹配算法为例,采用高性能、低功耗的多核数字信号处理器(DSP)系统,根据归一化互相关算法中模板图像在源图像中逐个像素搜索并计算相关性的特点,将搜索区域分成六个部分并使TMS320C6472的六个核并行搜索计算这六个区域,并在不同图像存储位置采用不同图像和模板大小实现了多核DSP归一化互相关图像匹配算法。实验结果表明,多核DSP具有作为数字信号处理器的高速信号和图像处理的特点,同时可以根据不同算法通过核间任务分配实现多核并行处理。对于归一化互相关灰度图像匹配算法,TMS320C6472六核DSP和单核DSP比较获得接近单核DSP六倍的性能,对于较大尺寸的图像和PC相比也具有一定的性能加速。     

输油管道微小泄漏球形检测器的设计与实现

针对输油管道微小泄漏检测方法有限、检测成本高、阻塞管道风险大等问题,提出了新的解决方案:设计了一个基于ARM—Linux和MEMS传感器的球形管道内检测器,其直径小于待检测管道直径。详细论述了该检测方案的原理、球形检测器的硬件组成、软件设计等内容。通过在输水管道内的多次模拟泄漏实验,证明该球形检测器检测流程简单、运行安全,能有效地检测出泄漏并给出较精确的定位信息,为输油管线微小泄漏的高精度、低成本的实用检测提供了有力的技术支持。     

A low-complexity Lanczos-algorithm-based detector with soft-output for multiuser massive MIMO systems

Zero-Forcing (ZF) algorithm achieves the near-optimal detection performance for massive multiple-input multiple-output (MIMO) systems at expense of performing the complicated matrix inversion of a high dimensional matrix. In this paper, a novel Lanczos-algorithm-based signal detection method with soft-output is proposed to iteratively realize ZF algorithm for multiuser massive MIIMO systems, which avoids the exact computation of matrix inversion and in turn reduces the computational complexity from $O(K^3)$ to $O(K^2)$, where K denotes the number of users. In the development of the proposed method, by analyzing the iterative process of Lanczos algorithm, an approximate low-complexity scheme is proposed to calculate the log likelihood ratios (LLRs) for soft channel decoding. Simulation results show that the proposed detector provides a relatively good tradeoff between the complexity and performance compared with the several recently proposed detectors, and achieves almost the same performance as the ZF algorithm with only 3 iterations.     

3D non-stationary vehicle-to-vehicle MIMO channel model for 5G millimeter-wave communications

Vehicle-to vehicle (V2V) is one of the most challenging scenarios in the fifth-generation (5G) millimeter-wave (mmW) mobile communication networks. Existing models cannot be utilized without development for compatibility with modern measurements, which have proved that the wide-sense stationary (WSS) modeling assumption is valid only for very short intervals. In this paper, a novel three-dimensional (3D) geometry-based stochastic model (GBSM) for non-stationary (non-WSS) narrowband V2V multi-input-multi-output (MIMO) channel with both 3D fixed and moving scatterers around the transmitter (Tx) and the receiver (Rx) is proposed. The azimuth angle of departure (AAoD), elevation angle of departure (EAoD), azimuth angle of arrival (AAoA) and elevation angle of arrival (EAoA) of the 3D moving scatterers have been considered as time varying angles, and this makes the model non-stationary. Based on the proposed model, the statistical properties, including space-time correlation function (STCF), space-Doppler power spectral density (SD-PSD), level crossing rate (LCR), and average fade duration (AFD) are derived and compared with those of measured data and state-of-the-art channel models. Finally, the close agreement between results reveal that the proposed 3D model with 3D moving scatterers reflects the real-world V2V channel characteristics, especially in 5G mmW networks.     

MIMO OFDM系统中一种V-BLAST检测算法的FPGA实现

给出了一种V-BLAST检测算法的FPGA实现方案,该算法基于Greville求伪逆的方法。设计主要考虑了流水线操作和并行度处理。算法在Xilinx公司的Vertex Ⅱ Pro系列FPGA中实现,在B3G TDD MIMO OFDM系统硬件平台上进行了验证,性能良好。     

mmWave communications for 5G: implementation challenges and advances

Science China Information Sciences - An equivalent system model (ESM) that can be used to calibrate a SAR system affected by both the effect of system errors and the Faraday rotation (FR) is...     

Parallel SUMIS soft detector for large MIMO systems on multicore and GPU

The Journal of Supercomputing - The number of transmit and receiver antennas is an important factor that affects the performance and complexity of a MIMO system. A MIMO system with very large...     

便携式瓦斯检测仪管理系统的设计与实现

针对以人工登记为主的矿山便携式瓦斯检测仪发放和回收工作存在效率低下、工作流程繁琐及不利于管理和统计的问题,设计一种便携式瓦斯检测仪自动收发系统.该系统包括收发装置、服务器和Web客户端三部分,采用C-S和B-S共存的复合结构,以PHP作为开发语言,选用MySQL数据库.实际应用结果表明,该系统能够很好地完成仪表发放回收工作,便于科学的管理仪表,加快了矿山信息化和智能化的建设.     

多核平台上B-NIDS的优化

计算进入了多核时代,处理器的发展不再由更快的主频带动,而是依靠增加片上的多个核心.但是,对于高性能应用来说,多核平台的并行处理由于缺少适合的并行程序开发工具还处于初始阶段.一个串行B-NIDS的优化需要对底层线程结构的深入了解和正确使用.发现了现有并行系统基于细粒度锁同步机制的瓶颈,根据应用的数据流特点提出了没有竞争的同步机制.然后,提出了改进系统三级流水的多线程结构,并实现了不同特征流的差别服务.在性能评价中,改进系统在8核32线程服务器上从资源占用、吞吐率及响应时间3个方面都表现出了更好的性能.     

Architectural implementation of modified K-best algorithm for detection in MIMO systems

We present novel architectures for the modified K-best algorithm and its very-large-scale integration implementation for spatially multiplexed wireless multiple-input multiple-output systems. The objective was to propose a simplified architecture based on the algorithm and to significantly improve the suitability for hardware implementation. Two different architecture designs were proposed: a distributed arithmetic- based tree-search detector and a breadth-first search sphere detector. The implementations were performed to obtain a configurable architectural solution for different antenna configurations and constellations. The synthesis analysis shows that the proposed architectures achieve a throughput of > 500 Mbps with reduced hardware complexity compared to previously reported architectures.     

基于自适应脉冲压缩-Capon滤波器的MIMO阵列雷达CFAR检测器

针对强杂波背景和有限训练样本数量条件下采用脉内编码压缩波形的MIMO阵列雷达目标检测问题,借鉴自适应波束形成技术中Capon最小功率估计器的相干源信号对消思想,提出了自适应脉冲压缩—Capon滤波器(简记为APC-Capon滤波器),并基于此滤波器的输出设计了一种CFAR检测器.理论分析和数值仿真均表明,该滤波器能够在执行非迭代自适应脉冲压缩并抑制各发射波形自相关距离旁瓣和互相关干扰的同时,实现杂波信号对消,即杂波抑制功能.检测性能仿真表明,尽管相同尺寸参数(包括发射阵元数、接收阵元数、脉冲编码位数、相参脉冲个数)条件下,所设计的基于APC-Capon滤波技术的CFAR检测器的性能不如训练样本数量充足时基于匹配滤波+样本矩阵求逆(SMI)技术的AMF检测器,但是随着尺寸参数的适当增大,前者的检测性能将逐渐超过后者在较小尺寸参数时的检测性能,且不显著增加计算复杂度和训练样本数量,而后者则因大尺寸参数时对计算复杂度和训练样本数量的需求过高而在实际中难以实现.仿真还表明,APC-Capon滤波器及其相应的CFAR检测器对发射波形的相关性(包括自相关性能和互相关性能)有一定的依赖性,但随着发射波形数量的增加,这种依赖...