Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum Monitoring
This paper addresses the problem of recovering the code phase of the composite spreading sequence for a CDMA 1x signal transmitted from a handset, without the benefit of a priori information from the system. The spreading code is required for the radio spectrum monitoring system for signal detection...
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doaj-cfc26a55174f4957a5efe8f5438f82332021-07-02T01:44:31ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552010-01-01201010.1155/2010/282493282493Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum MonitoringRon Kerr0John Lodge1Satellite Communications and Radio Propagation, Communications Research Centre Canada, 3701 Carling Avenue, Box 11490, Station H, Ottawa, ON, K2H 8S2, CanadaSatellite Communications and Radio Propagation, Communications Research Centre Canada, 3701 Carling Avenue, Box 11490, Station H, Ottawa, ON, K2H 8S2, CanadaThis paper addresses the problem of recovering the code phase of the composite spreading sequence for a CDMA 1x signal transmitted from a handset, without the benefit of a priori information from the system. The spreading code is required for the radio spectrum monitoring system for signal detection and measurements rather than for communications. The structure of the CDMA 1x signal is exploited by processing sequential pairs of received samples to form a single soft sample for each pair. The approach models the combination of the long-code generator and the two short-code generators, along with the pair-wise processing, by a single linear system over GF(2), with the initial states of the long- and short-code generators forming the input vector. Consequently, a vector of the pair-wise soft samples can be treated as a noisy received codeword that is decoded using iterative soft-in decoding techniques. If the decoder yields the correct candidate “codeword,” the original states of the code generators can be computed. This approach does not require direct access to the transmitted spreading sequence but can be applied to the data modulated signal. Simulation results provide performance estimates of the method with noise, Rayleigh fading, and co-channel interference.http://dx.doi.org/10.1155/2010/282493 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ron Kerr John Lodge |
spellingShingle |
Ron Kerr John Lodge Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum Monitoring Journal of Electrical and Computer Engineering |
author_facet |
Ron Kerr John Lodge |
author_sort |
Ron Kerr |
title |
Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum Monitoring |
title_short |
Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum Monitoring |
title_full |
Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum Monitoring |
title_fullStr |
Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum Monitoring |
title_full_unstemmed |
Iterative Signal Processing for Blind Code Phase Acquisition of CDMA 1x Signals for Radio Spectrum Monitoring |
title_sort |
iterative signal processing for blind code phase acquisition of cdma 1x signals for radio spectrum monitoring |
publisher |
Hindawi Limited |
series |
Journal of Electrical and Computer Engineering |
issn |
2090-0147 2090-0155 |
publishDate |
2010-01-01 |
description |
This paper addresses the problem of recovering the code phase of the composite spreading sequence for a CDMA 1x signal transmitted from a handset, without the benefit of a priori information from the system. The spreading code is required for the radio spectrum monitoring system for signal detection and measurements rather than for communications. The structure of the CDMA 1x signal is exploited by processing sequential pairs of received samples to form a single soft sample for each pair. The approach models the combination of the long-code generator and the two short-code generators, along with the pair-wise processing, by a single linear system over GF(2), with the initial states of the long- and short-code generators forming the input vector. Consequently, a vector of the pair-wise soft samples can be treated as a noisy received codeword that is decoded using iterative soft-in decoding techniques. If the decoder yields the correct candidate “codeword,” the original states of the code generators can be computed. This approach does not require direct access to the transmitted spreading sequence but can be applied to the data modulated signal. Simulation results provide performance estimates of the method with noise, Rayleigh fading, and co-channel interference. |
url |
http://dx.doi.org/10.1155/2010/282493 |
work_keys_str_mv |
AT ronkerr iterativesignalprocessingforblindcodephaseacquisitionofcdma1xsignalsforradiospectrummonitoring AT johnlodge iterativesignalprocessingforblindcodephaseacquisitionofcdma1xsignalsforradiospectrummonitoring |
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