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
Link To Document :
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