Basics of code division multiple access (CDMA) by Raghuveer Rao and Sohail Dianat.

By: Rao, Raghuveer MContributor(s): Dianat, Sohail AMaterial type: TextTextPublication details: New Delhi. : PHI, c2005Description: 105p. : ill. ; 24 cmSubject(s): Code division multiple accessAdditional physical formats: No titleDDC classification: 621.3845
Contents:
Chapter 1. The communication process. 1.1. Introduction -- 1.2. Digital communication -- 1.3 Multiple-access communication.
Chapter 2. Digital communication fundamentals. 2.1. Introduction -- 2.2. Transmission and reception in noise -- 2.3. Effect of finite channel bandwidth -- 2.4. Modulation through phase shift keying.
Chapter 3. Code division multiple access. 3.1. Introduction -- 3.2. An illustrative example -- 3.3. Direct-sequence spreading.
Chapter 4. Spreading sequences. 4.1. Introduction -- 4.2. Finite field arithmetic -- 4.3. Pseudorandom binary sequences -- 4.4. Alternative PRBS schemes -- 4.5. Walsh-Hadamard codes.
Chapter 5. Diversity techniques. 5.1. Introduction -- 5.2. Propagation model -- 5.3. BER and fading -- 5.4. BER and multipath -- 5.5. CDMA and multipath -- 5.6. Multiple antenna receivers and diversity combining.
Chapter 6. Multiuser detection. 6.1. Introduction -- 6.2. System model -- 6.3. Single-user detector -- 6.4. Decorrelating detector -- 6.5. Minimum mean square error receiver -- 6.6. Adaptive implementation of MMSE receiver -- 6.7. Minimum output energy receiver -- 6.8. Adaptive implementation of decision feedback MMSE receiver.
Chapter 7. CDMA in cellular telephony. 7.1. Introduction -- 7.2. Cellular telephony basics -- 7.3. IS-95A CDMA -- 7.4. Power control -- 7.5. Handoff -- 7.6. Conclusion.
Appendix A. Matched filter receiver. A.1. Binary detection problem -- A.2. Cauchy-Schwarz inequality -- A.3. Matched filter -- A.4. Simulation example of matched filter receiver.
Appendix B. Random signals and noise. B.1. Introduction -- B.2. Definition of random processes -- B.3. Mean and autocorrelation function of random processes -- B.4. Power spectrum of stationary random processes -- B.5. Noise through linear filters -- References -- Index.
SPIE Digital Library (Books)Abstract: Code division multiple access (CDMA) has proven to be a viable enabling technique for the simultaneous transmission and reception of data over a shared channel. Although associated mostly with wireless cellular communication, CDMA is also being considered for optical channels. This text, aimed at the reader with a basic background in electrical or optical engineering, covers CDMA fundamentals: from the basics of the communication process and digital data transmission, to the concepts of code division multiplexing, direct sequence spreading, diversity techniques, the near-far effect, and the IS-95 CDMA standard form.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Namal Library
Electrical Engineering 		621.3845 RAO-B 2005 4244 (Browse shelf (Opens below)) Available 0004244
Total holds: 0
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621.3845 PAT-F 2012 1120 Fundamentals of mobile computing / 621.3845 PAT-F 2012 3821 Fundamentals of mobile computing / 621.3845 PAT-F 2018 9866 Fundamentals of mobile computing / 621.3845 RAO-B 2005 4244 Basics of code division multiple access (CDMA) 621.3845 RIC-W 2009 4359 WCDMA design handbook / 621.3845 SCH-M 2009 3566 Mobile wireless communications / 621.3845 VER-M 2005 8301 Multiuser detection

Includes bibliographical references (p. [101]-102) and index.

Chapter 1. The communication process. 1.1. Introduction -- 1.2. Digital communication -- 1.3 Multiple-access communication.

Chapter 2. Digital communication fundamentals. 2.1. Introduction -- 2.2. Transmission and reception in noise -- 2.3. Effect of finite channel bandwidth -- 2.4. Modulation through phase shift keying.

Chapter 3. Code division multiple access. 3.1. Introduction -- 3.2. An illustrative example -- 3.3. Direct-sequence spreading.

Chapter 4. Spreading sequences. 4.1. Introduction -- 4.2. Finite field arithmetic -- 4.3. Pseudorandom binary sequences -- 4.4. Alternative PRBS schemes -- 4.5. Walsh-Hadamard codes.

Chapter 5. Diversity techniques. 5.1. Introduction -- 5.2. Propagation model -- 5.3. BER and fading -- 5.4. BER and multipath -- 5.5. CDMA and multipath -- 5.6. Multiple antenna receivers and diversity combining.

Chapter 6. Multiuser detection. 6.1. Introduction -- 6.2. System model -- 6.3. Single-user detector -- 6.4. Decorrelating detector -- 6.5. Minimum mean square error receiver -- 6.6. Adaptive implementation of MMSE receiver -- 6.7. Minimum output energy receiver -- 6.8. Adaptive implementation of decision feedback MMSE receiver.

Chapter 7. CDMA in cellular telephony. 7.1. Introduction -- 7.2. Cellular telephony basics -- 7.3. IS-95A CDMA -- 7.4. Power control -- 7.5. Handoff -- 7.6. Conclusion.

Appendix A. Matched filter receiver. A.1. Binary detection problem -- A.2. Cauchy-Schwarz inequality -- A.3. Matched filter -- A.4. Simulation example of matched filter receiver.

Appendix B. Random signals and noise. B.1. Introduction -- B.2. Definition of random processes -- B.3. Mean and autocorrelation function of random processes -- B.4. Power spectrum of stationary random processes -- B.5. Noise through linear filters -- References -- Index.

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Code division multiple access (CDMA) has proven to be a viable enabling technique for the simultaneous transmission and reception of data over a shared channel. Although associated mostly with wireless cellular communication, CDMA is also being considered for optical channels. This text, aimed at the reader with a basic background in electrical or optical engineering, covers CDMA fundamentals: from the basics of the communication process and digital data transmission, to the concepts of code division multiplexing, direct sequence spreading, diversity techniques, the near-far effect, and the IS-95 CDMA standard form.

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