High-rate direct-sequence spread spectrum with error-control coding

Pursley, M.B.; Royster, Thomas C.

doi:10.1109/tcomm.2006.881256

Cited by 34 publications

(10 citation statements)

References 22 publications

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“…The choice between convolutional codes with Viterbi decoding and ReedSolomon codes with errors-and-erasures decoding depends on the application and the metric. Adaptive transmission protocols can give large performance improvements for high-rate DS spread-spectrum communication over time-varying channels, and the key parameters for the adaptive protocols can be determined analytically by using the methods in [PuR05a].…”

Section: Research Resultsmentioning

confidence: 99%

Adaptive Protocols for Mobile Wireless Networks

Pursley¹

2005

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Results are reported for basic research in mobile wireless communication networks for tactical applications including investigations of new methods for error-control coding and decoding, modulation and demodulation, channel access, adaptive transmission and routing,, and broadband antenna design. Research results are presented on adaptive, energy-efficient, distributed protocols for mobile wireless networks that must operate effectively over unreliable communication links in highly dynamic environments and handle multimedia traffic. The dominant feature of the research is the exploitation of interactions among protocols to capitalize on the opportunities and overcome the impediments presented by the tactical communications environment and capitalize on the differences in quality-of-service requirements for mixed-media traffic. The interactions among protocols involve not only the exchange of information but also the active cooperation of different classes of protocols to accomplish the common objective of reliable, energy-efficient distribution of information. The research accomplishments include establishing and taking maximum advantage of a strong coupling of the various protocol layers with physical-layer functions such as receiver processing, modulation and demodulation, error-control coding and decoding. New protocols have been developed and evaluated for directional antennas, and broadband antennas have been designed and tested for use with spread-spectrum communications and other wideband waveforms. The development of side information in physical-layer operations and its effective utilization in soft-decision decoding, adaptive transmission, and adaptive routing are fundamental elements of the communication techniques and adaptive protocols that have been designed and evaluated. Results are reported for basic research in mobile wireless communication networks for tactical applications including investigations of new methods for error-control coding and decoding, modulation and demodulation, channel access, adaptive transmission and routing,, and broadband antenna design. Contributions include adaptive, energy-efficient, distributed protocols for mobile wireless networks that must operate effectively over unreliable communication links in highly dynamic environments and handle multimedia traffic. The dominant feature of the research is the exploitation of interactions among protocols to capitalize on the opportunities and overcome the impediments presented by the tactical communications environment and capitalize on the differences in quality-of-service requirements for mixed-media traffic. The interactions among protocols involve not only the exchange of information but also the active cooperation of different classes of protocols to accomplish common objectives. New protocols have been developed and evaluated for directional antennas, and broadband antennas have been designed and tested for use with spread-spectrum communications and other wideband waveforms. 005

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Section: Research Resultsmentioning

confidence: 99%

Adaptive Protocols for Mobile Wireless Networks

Pursley¹

2005

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“…The demodulator statistic depends on the type of modulation that is employed by the system. For example, for orthogonal, biorthogonal, or quasi-orthogonal modulation, we use the ratio statistic (e.g., see [11] or [12]), which is the ratio of the second largest correlator output magnitude to the largest correlator output magnitude, averaged over all modulation symbols in the packet.…”

Section: System Model and Receiver Statisticsmentioning

confidence: 99%

Receiver Statistics for Spectrum Monitoring While Communicating

Boyd

Frye

Pursley

et al. 2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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In many dynamic spectrum access networks, it is necessary for secondary users to monitor the frequency band in which they are communicating so that they can determine if the primary user has begun transmission. Traditional sensing methods require the transmitters of the secondary users to be silent while spectrum monitoring is performed. Statistics that are derived easily in a communications receiver have the potential to permit a level of spectrum monitoring while the receiver is demodulating and decoding a packet, so that it is not necessary to silence the secondary transmitters. The proposed techniques for spectrum monitoring can supplement existing methods and reduce the amount of time that secondary users must refrain from communicating.

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“…We define SIR = 10 log 10 (P/I), where P is the power in the desired component and I is the power in the multipath interference. For 256-IQB and 16-biorthogonal signals, a random signature sequence is direct-sequence (DS) modulated onto the modulation symbols with one sequence chip per modulation chip, as described in [25]. Because a signature sequence is not permitted in IEEE 802.11b, most of our results for CCK are for modulation without a signature sequence.…”

Section: Error Probabilities For Specular Multipath Channelsmentioning

confidence: 99%

IEEE 802.11b Complementary Code Keying and Complementary Signals Derived from Biorthogonal Sequences

Pursley

Royster

2007

2007 IEEE International Conference on Communications

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Two classes of complementary signal sets are compared in terms of their complementary properties and their error probabilities for channels with thermal noise and multipath interference. One class consists of the high-rate (11 Mbps and 5.5 Mbps) signals employed in the IEEE 802.11b standard, and the other class includes full-rate (11 Mbps) complex signals derived from biorthogonal sequences and half-rate (5.5 Mbps) biorthogonal signals. We examine several types of complementary properties of each class of signals and give performance comparisons for the signals when employed on channels in which thermal noise is the only disturbance and channels with thermal noise and multipath interference. For standard IEEE 802.11b complementary-codekey (CCK) modulation, we find the performance is strongly dependent on the differential multipath delay. For systems that employ binary error-control coding, the signals that are based on biorthogonal modulation are superior to the two IEEE 802.11b CCK signal sets.

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High-rate direct-sequence spread spectrum with error-control coding

Cited by 34 publications

References 22 publications

Adaptive Protocols for Mobile Wireless Networks

Adaptive Protocols for Mobile Wireless Networks

Receiver Statistics for Spectrum Monitoring While Communicating

IEEE 802.11b Complementary Code Keying and Complementary Signals Derived from Biorthogonal Sequences

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