This accessible guide contains everything you need to get up to speed on the theory and implementation of MIMO techniques.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jerry R. Hampton is a research engineer with over 30 years of experience in communications systems engineering. He is a member of the principal professional staff in the Applied Physics Laboratory, and an Adjunct Professor in the Whiting School of Engineering, at Johns Hopkins University, where he teaches a graduate course in MIMO wireless communications.
Inhaltsangabe
1. Overview of MIMO communications 2. The MIMO capacity formula 3. Applications of the MIMO capacity formula 4. RF propagation 5. MIMO channel models 6. Alamounti coding 7. Space-time coding 8. Spatial multiplexing 9. Broadband MIMO 10. Channel estimation 11. Practical MIMO examples Appendices: A. MIMO system equation normalization B. Proof of Theorem 5.2 C. Derivation of Eq. 7.9 D. Maximum likelihood decoding rules for selected OSTBSs E. Derivation of Eq. 8.68 Appendix F. Parameters for the non-unequal HT modulation and coding schemes in IEEE 802.11n References Index.
1. Overview of MIMO communications 2. The MIMO capacity formula 3. Applications of the MIMO capacity formula 4. RF propagation 5. MIMO channel models 6. Alamounti coding 7. Space-time coding 8. Spatial multiplexing 9. Broadband MIMO 10. Channel estimation 11. Practical MIMO examples Appendices: A. MIMO system equation normalization B. Proof of Theorem 5.2 C. Derivation of Eq. 7.9 D. Maximum likelihood decoding rules for selected OSTBSs E. Derivation of Eq. 8.68 Appendix F. Parameters for the non-unequal HT modulation and coding schemes in IEEE 802.11n References Index.
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