DocumentCode
65794
Title
A High-Performance Measure for Non-Line-of-Sight Identification in MIMO-OFDM-Based Sensor Networks
Author
Wenjie Xu ; Zekavat, S.A.
Author_Institution
Sch. of Electr. Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume
8
Issue
1
fYear
2014
fDate
Mar-14
Firstpage
125
Lastpage
130
Abstract
This paper proposes a new measure for non-line-of-sight (NLOS) identification in wireless localization systems. The measure is defined based on the space-frequency correlation of multi-input-multi-output orthogonal frequency division multiplexing systems. Here, space correlation refers to the correlation across antenna elements, and frequency correlation refers to the correlation across subcarriers. In this technique, the mean value and standard deviation of space-frequency correlation over multiple transmit and receive antenna combinations are used as the measure for NLOS identification. This method requires minimal variation of spatial correlation across different multipath components. The channel model satisfying this requirement is studied. It is depicted that the proposed technique is applicable to many indoor and outdoor environments in which sensor networks operate. The probability of detection performance of the new NLOS identification method is investigated.
Keywords
MIMO communication; OFDM modulation; antenna arrays; signal detection; wireless sensor networks; MIMO-OFDM; NLOS identification; antenna elements; indoor environments; mean value; multi-input-multi-output systems; multipath components; nonline-of-sight identification; orthogonal frequency division multiplexing systems; outdoor environments; sensor networks; space-frequency correlation; standard deviation; wireless localization systems; Antenna measurements; Correlation; OFDM; Receiving antennas; Rician channels; Antenna arrays; localization; multi-input–multi-output (MIMO) orthogonal frequency division multiplexing (OFDM); non-line-of-sight (NLOS) identification; sensor networks;
fLanguage
English
Journal_Title
Systems Journal, IEEE
Publisher
ieee
ISSN
1932-8184
Type
jour
DOI
10.1109/JSYST.2013.2260627
Filename
6646249
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