Sparsity-based multipath exploitation for through-the-wall radar imaging. (2018)

• Record Type: Book
• Further Information: Note: Michael Leigsnering.
• Authors: Leigsnering, Michael
• Contents: Intro; Supervisorâ#x80;#x99;s Foreword; Supervisorâ#x80;#x99;s Foreword; Acknowledgements; Contents; Acronyms; Symbols; 1 Introduction and Motivation; 1.1 Motivation; 1.2 State-of-the-Art; 1.3 Contributions; 1.4 Thesis Overview; References; 2 Fundamentals of Compressive Sensing; 2.1 Assumptions and Conditions for Reconstruction; 2.1.1 Sensing on Linear Bases; 2.1.2 Sparsity; 2.1.3 Conditions on the Measurement Matrix; 2.2 Reconstruction Algorithms; 2.2.1 Optimization-Based Approaches; 2.2.2 Greedy Approaches; 2.3 Application to Through-the-Wall Radar Imaging; References; 3 Signal Model. 3.1 Ultra-Wideband Signal Model3.2 Stepped-Frequency Signal Model; 3.3 Multipath Propagation; 3.3.1 Direct Path and Wall Ringing Multipath; 3.3.2 Interior Wall Multipath; 3.3.3 Bistatic Received Signal Model; 3.4 Direct Wall Reflections; 3.5 Efficient Sampling Schemes; 3.5.1 Ultra-Wideband Pulse Radar; 3.5.2 Stepped-Frequency Radar; References; 4 Sparsity-Based Multipath Exploitation; 4.1 Motivation; 4.2 Conventional Image Formation; 4.3 Stationary Targets; 4.3.1 Conventional Sparse Reconstruction; 4.3.2 Group Sparse Reconstruction; 4.3.3 Sparse Reconstruction with Overlapping Groups. 4.3.4 Simulation and Experimental Results4.4 Stationary and Moving Targets; 4.4.1 Apparent Doppler Speed; 4.4.2 Joint Target Location and Velocity Estimation; 4.4.3 Target Location Reconstruction with Subsequent Velocity Estimation; 4.4.4 Simulation and Experimental Results; 4.5 Distributed Radar; 4.5.1 Multiple Radar Unit Model; 4.5.2 Dictionary Analysis; 4.5.3 Joint Group Sparse Reconstruction; 4.5.4 Simulation Results; 4.6 Conclusions; References; 5 Mitigating Wall Effects and Uncertainties; 5.1 Motivation; 5.2 Front Wall Reflections; 5.2.1 Wall Reflection Model. 5.2.2 Separate Reconstruction5.2.3 Joint Group Sparse Reconstruction; 5.2.4 Joint Overlapping Group Sparse Reconstruction; 5.2.5 Simulation and Experimental Results; 5.3 Wall Location Correction; 5.3.1 Multipath Model Including Wall Position Errors; 5.3.2 Joint Sparse Reconstruction and Wall Position Estimation; 5.3.3 Simulation and Experimental Results; 5.4 Conclusions; References; 6 Conclusions and Outlook; 6.1 Conclusions; 6.1.1 Multipath Model; 6.1.2 Sparsity-Based Multipath Exploitation; 6.1.3 Mitigating Wall Effects and Uncertainties; 6.2 Outlook; 6.2.1 Signal Model. 6.2.2 Sparsity-Based Multipath Exploitation6.2.3 Sparse Reconstruction with Parameter Uncertainties; References; A; A.1 Complex Amplitude Derivation; A.2 Justification of the Invariance of Complex Amplitude Across the Array; Appendix Curriculum Vitae.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xx, 108 pages), illustrations (some color)
• Subjects: 621.382/2; Engineering; Compressed sensing (Telecommunication); TECHNOLOGY & ENGINEERING -- Mechanical; Compressed sensing (Telecommunication); Technology & Engineering -- Lasers & Photonics; Technology & Engineering -- Remote Sensing & Geographic Information Systems; Computers -- Computer Graphics; Laser technology & holography; Geographical information systems (GIS) & remote sensing; Image processing; Computer vision; Technology & Engineering -- Electronics -- General; Imaging systems & technology; Electronic books
• Languages: English
• ISBNs: 9783319742830; 3319742833
• Related ISBNs: 9783319742823; 3319742825
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed February 20, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.