Blind adaptive interference suppression for direct-sequence CDMA

Madhow, Upamanyu

doi:10.1109/5.720252

Cited by 238 publications

(131 citation statements)

References 64 publications

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“…Adaptive detectors potentially can achieve much better performance than conventional ones at least if the transmission channel is time-invariant, but coping with fast fading and interference changes requires elaborate modifications. A blind adaptive detector [51] is one that does not require training sequences. These detectors are desirable for applications such as system recovery but entail some performance loss and complexity increase relative to other adaptive detectors.…”

Section: Mmse Detectormentioning

confidence: 99%

Direct-Sequence Communication Systems

Torrieri¹

2004

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Approved for public release; distribution unlimited. ii REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) March 2004 REPORT TYPE ARL-TR-3175 SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)U.S. Army Research Laboratory 2800 Powder Mill Road Adelphi, MD 20783-1197 SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution unlimited. SUPPLEMENTARY NOTES ABSTRACTThis report presents a comprehensive review of the state of the art of direct-sequence communication systems. Although it is largely self-contained mathematically, the report presumes a thorough understanding of modern digital communications. To limit the report to approximately 200 pages, only the most vital aspects of the theory are emphasized, but the cited references provide many details and minor topics. SUBJECT TERMS PrefaceThis report presents a comprehensive review of the state of the art of direct-sequence communication systems. Although it is largely self-contained mathematically, the report presumes a thorough understanding of modern digital communications. To limit the report to approximately 200 pages, only the most vital aspects of the theory are emphasized, but the cited references provide many details and minor topics. Sections 1 and 2 cover the basic definitions and concepts and the fundamental properties of spreading sequences. Sections 3 and 4 derive the symbol error probabilities of coherent systems in the presence of tone or Gaussian interference. Methods of suppressing pulsed interference are analyzed in Section 5. In Section 6, the role of matched filters in direct-sequence systems is examined. Code synchronization, which is the most significant issue in the design of direct-sequence systems, is analyzed in Section 7. Several supplementary methods of rejecting narrowband interference are presented in Section 8. The detection of the existence of a direct-sequence signal by both an ideal receiver and the more practical wideband radiometer are analyzed in Section 9. Section 10 explains and develops the theory of direct-sequence code-division multi...

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Section: Mmse Detectormentioning

confidence: 99%

Direct-Sequence Communication Systems

Torrieri¹

2004

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“…It is well-known that CDMA can be demodulated without knowledge of the spreading sequences by means of blind algorithms, see e.g. [8]. Those algorithms can also be applied in massive MIMO systems as proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pilot Decontamination Based on Power Control

Cottatellucci

Müller

Vehkaperä

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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Abstract-A subspace method for channel estimation is proposed for asymmetric antenna array systems. The so-called pilot contamination problem reported in [1] is found to be due to the linearity of channel estimation in [2]. We show that it does not occur in cellular systems with power control and power-controlled handoff when the nonlinear channel estimation method proposed in this paper is used. Power-control hand-off is needed to guarantee separability between signal and interference subspaces. We derive the transmission conditions for subspace separability based on free probability and perturbation theory.

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“…Numerical inaccuracies in a practical implementation of the MOE detector can cause 1 [ ] i x and 1 s to lose orthogonality. The third term in Equation (7) is included in the update to maintain orthogonality between 1 …”

Section: Moe Detectormentioning

confidence: 99%

“…For illustration purpose, we assume a spreading sequence of length seven. We note that the incoming chip data [ 1] i + y (during the th ( 1) i + iteration), arrives in bursts of seven chips each. This is done in order to prevent a potential conflict when there is more outstanding data in the buffer than the rate at which the adaptation takes place.…”

Section: Moe Detector Architecturementioning

confidence: 99%

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Handset detector architectures for DS-CDMA wireless systems

Livingston

Chandrasekhar

Vaya

et al.

2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353)

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This paper investigates detector architectures for wireless handsets employing DS-CDMA. The code-matched filter (MF) and minimum output energy (MOE) detectors are analyzed with respect to fixed-point arithmetic behavior. Architectures employing fixed-point arithmetic are then proposed for these detectors. The maximum throughput of these architectures and the associated costs in terms of area usage and power consumption are evaluated. Results of the fixed-point analysis indicate that the MOE detector is more susceptible to quantization than the MF detector. Results of implementation indicate that the superior performance of the MOE detector is achieved at a considerably higher cost in terms of area usage and power consumption. Finally, comparison of hardware implementation with softwarebased DSP implementation indicates that software approaches result in considerably lower throughputs.

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Blind adaptive interference suppression for direct-sequence CDMA

Cited by 238 publications

References 64 publications

Direct-Sequence Communication Systems

Direct-Sequence Communication Systems

Analysis of Pilot Decontamination Based on Power Control

Handset detector architectures for DS-CDMA wireless systems

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