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Spectrum Sharing Between Radars and Communication Systems: A MATLAB Based Approach 1st ed. 2018 [Pehme köide]

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  • Formaat: Paperback / softback, 102 pages, kõrgus x laius: 235x155 mm, kaal: 1942 g, 22 Illustrations, color; 2 Illustrations, black and white; XV, 102 p. 24 illus., 22 illus. in color., 1 Paperback / softback
  • Sari: SpringerBriefs in Electrical and Computer Engineering
  • Ilmumisaeg: 26-Jun-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319566830
  • ISBN-13: 9783319566832
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Spectrum Sharing Between Radars and Communication Systems: A MATLAB Based Approach 1st ed. 2018Suurem pilt
  • Formaat: Paperback / softback, 102 pages, kõrgus x laius: 235x155 mm, kaal: 1942 g, 22 Illustrations, color; 2 Illustrations, black and white; XV, 102 p. 24 illus., 22 illus. in color., 1 Paperback / softback
  • Sari: SpringerBriefs in Electrical and Computer Engineering
  • Ilmumisaeg: 26-Jun-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319566830
  • ISBN-13: 9783319566832
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319566832.html
Märksõnad:
This book presents spectrum sharing efforts between cellular systems and radars. The book addresses coexistence algorithms for radar and communication systems. Topics include radar and cellular system models; spectrum sharing with small radar systems; spectrum sharing with large radar systems; radar spectrum sharing with coordinated multipoint systems (CoMP); and spectrum sharing with overlapped MIMO radars. The primary audience is the radar and wireless communication community, specifically people in industry, academia, and research whose focus is on spectrum sharing. The topics are of interest for both communication and signal processing technical groups. In addition, students can use MATLAB code to enhance their learning experience.

Introduction.- A Projection Based Approach to Spectrum Sharing.- Coloacted MIMO Radar and CoMP Cellular System.- Overlapped-MIMO Radar and MIMO Cellular System.
1 Introduction
1(6)
Awais Khawar
Jasmin Mahal
Chowdhury Shahriar
References
4(3)
2 A Projection-Based Approach to Spectrum Sharing
7(32)
Awais Khawar
Ahmed Abdelhadi
T. Charles Clancy
2.1 System Model
8(4)
2.1.1 Radar Model
8(1)
2.1.2 Target Model/Channel
8(1)
2.1.3 Signal Model
9(1)
2.1.4 Modeling Assumptions
9(1)
2.1.5 Statistical Assumptions
10(1)
2.1.6 Orthogonal Waveforms
10(1)
2.1.7 Communication System
10(1)
2.1.8 Interference Channel
11(1)
2.1.9 Cooperative RF Environment
11(1)
2.2 Radar-Cellular System Spectrum Sharing
12(1)
2.2.1 Architecture
12(1)
2.3 Spectrum Sharing Algorithms for Small MIMO Radar
13(7)
2.3.1 Performance Metrics
13(1)
2.3.2 Interference-Channel-Selection Algorithm
14(1)
2.3.3 Modified-Null-Space Projection (NSP) Algorithm
15(3)
2.3.4 Simulation Results
18(2)
2.4 Spectrum Sharing Algorithms for Large MIMO Radar
20(15)
2.4.1 Projection Matrix
21(3)
2.4.2 Spectrum Sharing and Projection Algorithms
24(1)
2.4.3 Statistical Decision Test for Target Detection
25(5)
2.4.4 Numerical Results
30(5)
2.5 Conclusion
35(1)
2.6 MATLAB Code
35(4)
References
37(2)
3 Coloacted MIMO Radar and CoMP Cellular System
39(36)
Jasmin Mahal
Awais Khawar
Ahmed Abdelhadi
T. Charles Clancy
3.1 Radar/CoMP System Spectral-Coexistence Models
41(5)
3.1.1 Coordinated Multi-point (CoMP) System
41(2)
3.1.2 Clustering Algorithms
43(1)
3.1.3 Colocated MIMO Radar
44(2)
3.1.4 Spectral-Coexistence Scenario
46(1)
3.2 Signal Design for Spectral Coexistence
46(7)
3.2.1 Radar Precoder Design for Interference Mitigation
47(3)
3.2.2 Radar Precoder Design for Cooperation
50(1)
3.2.3 CoMP Signal Design for Interference Mitigation
50(2)
3.2.4 CoMP Signal Design for Cooperation
52(1)
3.2.5 The Impact of Ship's Motion on Radar Precoder Design
53(1)
3.2.6 The Two Modes of Operation and the PRI of Radar
53(1)
3.3 Spectrum Sharing Algorithms
53(2)
3.3.1 Optimal Cluster Selection Algorithm
54(1)
3.3.2 Small Singular Value Space Projection (SSVSP) Algorithm
54(1)
3.4 Theoretical Performance Analysis of the Radar Precoder
55(3)
3.5 Simulation Results
58(3)
3.5.1 Performance Analysis of Interference Mitigating Precoder
58(3)
3.5.2 Performance Analysis of Information Exchange Precoder
61(1)
3.6 Conclusion
61(1)
3.7 MATLAB Code
62(13)
3.7.1 Interference Mitigation Mode
62(9)
3.7.2 Cooperation Mode
71(1)
3.7.3 Several Functions for both Modes
72(1)
References
73(2)
4 Overlapped-MIMO Radar and MIMO Cellular System
75(24)
Chowdhury Shahriar
Ahmed Abdelhadi
T. Charles Clancy
4.1 System Model for Coexistence
76(3)
4.1.1 Radar Model
76(1)
4.1.2 Communications System Model
77(1)
4.1.3 Coexistence Channel Model
77(1)
4.1.4 Key Assumptions
77(2)
4.2 Colocated MIMO Radar
79(2)
4.3 Overlapped-MIMO Radar
81(3)
4.4 Performance Metrics for Overlapped-MIMO Radar
84(2)
4.4.1 Beampattern Improvement
84(1)
4.4.2 SNR Gain Improvement
85(1)
4.5 Optimum Subarray Size for Overlapped-MIMO Radar
86(1)
4.6 Radar-Centric Spectrum Sharing Algorithm
87(2)
4.6.1 Null Space Projection (NSP)
87(1)
4.6.2 Projection Matrix
87(2)
4.7 Assumptions and Limiting Factors of NSP
89(1)
4.8 Simulation and Results
90(2)
4.9 Conclusion
92(2)
4.10 MATLAB Code
94(5)
4.10.1 Overlapped-MIMO Main Module
94(1)
4.10.2 Uplink Beamforming Matrix
95(1)
4.10.3 Virtual Steering Vector
96(1)
4.10.4 Number of Subarray
97(1)
References
97(2)
Index 99
Dr. Awais Khawar is a Senior Engineer at Federated Wireless. He received his B.S. in telecommunication engineering from the National University of Computer and Emerging Sciences, Peshawar, Pakistan (2007), M.S. in electrical engineering from the University of Maryland at College Park (2010), and Ph.D. in electrical engineering from Virginia Tech (2015). At the University of Maryland his research focused on the security aspect of spectrum sensing in cognitive radio networks. His work on spectrum sensing security has featured in the IEEE COMSOC Best Readings in Cognitive Radio. At Virginia Tech his research focused on spectrum sharing, security, optimization, and resource allocation for coexisting wireless communication and radar systems. Dr. Khawar has co-authored more than 20 peer-reviewed technical publications. He is also co-author of the book MIMO Radar Waveform Design for Spectrum Sharing with Cellular Systems (Springer, 2016).





 

Dr. Ahmed Abdelhadi is a Research Assistant Professor at Virginia Tech. He received his Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin in December 2011. He was a member of Wireless Networking and Communications Group (WNCG) during his Ph.D. In 2012, he joined Bradley Department of Electrical and Computer Engineering and Hume Center for National Security and Technology at Virginia Tech. His research interests are in the areas of resource allocation optimization, radar and wireless systems, and security. Dr. Abdelhadi has coauthored more than 50 journal and conference papers and 5 books in these research topics.





 





Dr. T. Charles Clancy is an Associate Professor of Electrical and Computer Engineering at Virginia Tech and directs of the Hume Center for National Security and Technology. Prior to joining Virginia Tech in 2010, he served as a senior researcher at the Laboratory for Telecommunications Sciences, a defense research lab at the University of Maryland, where he led research programs in software-defined and cognitive radio. Dr. Clancy received his B.S. in Computer Engineering from the Rose-Hulman Institute of Technology, M.S. in Electrical Engineering from the University of Illinois, and his Ph.D. in Computer Science from the University of Maryland. He is a Senior Member of the IEEE and has over 150 peer-reviewed technical publications. His current research interests include cognitive communications and spectrum security.