International Workshop on Systems, Signal Processing and their Applications, WOSSPA最新文献_第8页

On the diversity of the Naive Lattice Decoder 朴素格解码器的多样性

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931516

Asma Mejri, Laura Luzzi, G. R. Othman

{"title":"On the diversity of the Naive Lattice Decoder","authors":"Asma Mejri, Laura Luzzi, G. R. Othman","doi":"10.1109/WOSSPA.2011.5931516","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931516","url":null,"abstract":"“Naive Lattice Decoding” (NLD) and its low-complexity approximations such as lattice reduction-aided linear decoders represent an alternative to Maximum Likelihood lattice decoders for MIMO systems. Their diversity order has been investigated in recent works. These showed that the NLD achieves only the receive diversity and that MMSE-GDFE left preprocessing followed by NLD or its approximations achieves the maximum diversity. All the theoretical results have so far focused on the diversity order but this is not the only relevant parameter to achieve good performance and the coding gain also needs to be considered. In addition, up to now there has not been any numerical analysis of the actual performance of these techniques for the coded systems for moderate SNR. In this paper, we consider MIMO systems using high-dimensional perfect space-time codes. We show that by adding MMSE-GDFE preprocessing, the NLD has a loss of only 1.5 dB with respect to optimal decoding in the case of the Perfect Code 4×4. However, even with MMSE-GDFE preprocessing, the performance of lattice-reduction aided linear receivers is still very poor for high-dimensional lattices.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129896354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

An improper random vector approach for ESPRIT and unitary ESPRIT frequency estimation 一种不合适的ESPRIT随机向量方法和单一ESPRIT频率估计

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931478

G. Bouleux, Thameur Kidar, F. Guillet

引用次数: 1

An efficient fast integer DCT transform for images compression with 16 additions only 一个有效的快速整数DCT变换图像压缩与16加法只有

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931415

Nabila Brahimi, S. Bouguezel

引用次数: 14

Turbo multiuser detectors for IDMA-based underwater communications 用于基于idma的水下通信的Turbo多用户检测器

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931506

C. Tsimenidis, S. Aliesawi, B. Sharif

引用次数: 0

Signal processing requirements and uncertainty modeling issues in cooperative vehicular positioning 协同车辆定位中的信号处理要求及不确定性建模问题

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931496

D. Gingras, Evangeline Pollard, D. Gruyer

引用次数: 7

A Newton-like algorithm for adaptive multi-modulus blind equalization 自适应多模盲均衡的类牛顿算法

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931474

K. N. Paracha, A. Zerguine

引用次数: 3

Low cost DOA estimation for wideband sources 宽带源的低成本DOA估计

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931423

A. Ouamri

引用次数: 0

Texture classification in different illumination conditions via testing the covariance matrices and mean vectors 通过检验协方差矩阵和均值向量对不同光照条件下的纹理进行分类

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931446

M. H. Shariat, M. Neinavaie, M. Derakhtian, S. Gazor

引用次数: 1

Distributed detection of moving target using MIMO radar in clutter with non-homogeneous power 功率非均匀杂波条件下MIMO雷达运动目标的分布式检测

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931517

Pu Wang, Hongbin Li, B. Himed

{"title":"Distributed detection of moving target using MIMO radar in clutter with non-homogeneous power","authors":"Pu Wang, Hongbin Li, B. Himed","doi":"10.1109/WOSSPA.2011.5931517","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931517","url":null,"abstract":"Previously, we studied moving target detection (MTD) using a distributed MIMO radar, where the multi-static transmit-receive configuration causes non-homogeneous clutter. By representing the non-homogeneous clutter in a low-rank subspace with different subspace coefficients for different transmit-receive pairs, a generalized likelihood ratio test (GLRT), which is referred to as the MIMO-GLRT, was introduced. The MIMO-GLRT, however, is a centralized detector requiring the distributed receivers to send their local observations to a fusion center, which performs parameter estimation and computes a global test variable. In this paper, we consider distributed detection for the moving target problem. The goal is to reduce the communication overhead as well as power/bandwidth consumptions from the receivers to the fusion center. We consider two distributed implementations of the MIMO-GLRT, with or without local data aggregation. Specifically, the one that performs local aggregation computes a single local test statistic at each receive antenna, by using the outputs of all matched filters (each matched to a waveform unique to one transmit antenna); meanwhile, the one that does not perform local aggregation computes multiple local test statistics, one for each matched filter output. In both cases, the local unquantized test statistics from all receive antennas are forwarded to the fusion center and non-coherently combined to form a final test variable. Simulation results are provided to illustrate the performance loss with respect to the centralized MIMO-GLRT and compare with another distributed MIMO moving target detector based on a homogeneous assumption.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133107708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Parameterized FPGA-based architecture for parallel 1-D filtering algorithms 基于参数化fpga的并行一维滤波算法

International Workshop on Systems, Signal Processing and their Applications, WOSSPA Pub Date : 2011-05-09 DOI: 10.1109/WOSSPA.2011.5931443

S. Hasan, S. Boussakta, Alexandre Yakovlev

引用次数: 16