DocumentCode
2559230
Title
First Arrival Detection for Sparse Multipath Channel
Author
Shang, Zhijiang ; Wan, Qun ; Zhong, Weihai
Author_Institution
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2010
fDate
23-25 Sept. 2010
Firstpage
1
Lastpage
4
Abstract
Since most components of sparse multi-path channel (SMPC) are zero, impulse response of SMPC can be recovered from a short training sequence and its non-zero entries can be detected from a short training sequence. In this paper, we use 1-bit measurements, which preserve only the sign information of the random measure, to detect the first arrival of sparse channel. Although it is possible to detect using the classical compressive sensing approach by treating the 1-bit measurement as ± 1 measurement values, in this paper we reformulate the problem to a convex problem. In order to mitigate inter-atom interference (IAI), a sensing dictionary is used. The simulation results demonstrate that the percentage of first arrival of SMPC by the proposed method is significantly better than the classical compressive sensing method that use the quantized 1-bit measurement and better than that doesn´t use a sensing dictionary.
Keywords
convex programming; multipath channels; signal detection; transient response; 1-bit measurements; classical compressive sensing approach; convex problem; first arrival detection; impulse response; inter-atom interference; nonzero entries; sensing dictionary; short training sequence; sign information; sparse multipath channel; Compressed sensing; Dictionaries; Multipath channels; Quantization; Sensors; Training; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-3708-5
Electronic_ISBN
978-1-4244-3709-2
Type
conf
DOI
10.1109/WICOM.2010.5600925
Filename
5600925
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