The impact of cognition on radar technology / Alfonso Farina, Antonio De Maio, Simon Haykin.

Format:

Book

Author/Creator:

Farina, Alfonso, author.

De Maio, Antonio, author.

Haykin, Simon, author.

Series:

Electromagnetics and Radar

Language:

English

Subjects (All):

Automatic tracking.

MIMO systems.

Physical Description:

1 online resource (309 pages)

Edition:

1st ed.

Place of Publication:

Stevenage, United Kingdom : Scitech Publishing, an imprint of the IET, 2017.

Summary:

This book is an essential exploration of the application of cognitive concepts in the development of modern phased array radar systems for surveillance.

Contents:

Intro

Content

Foreword

Acknowledgments

Notation

About the Editors

1. Introduction to cognitive radar with an industrial point of view - A. Farina

1.1 Introduction

1.2 Why cognition in radar? The role of human operators and of a computer-based radar task scheduler

1.2.1 Use of the phased-array antenna in radar systems

1.2.2 Use of variable dwell time

1.2.3 Use of variable data rate

1.2.4 The system manager

1.3 To what extent can today's phased-array radars be considered cognitive?

1.4 What's next

1.5 Operational requirements

1.6 Enabling key technologies: just a taste

1.7 Adaptivity and brain

1.7.1 Brain... few basic notions

1.8 Brain inspired radar design

1.9 Conclusion

References

2. Cognitive radar inspired by the brain - Simon Haykin, Yanbo Xue, and Peyman Setoodeh

2.1 Introduction

2.2 Fuster's paradigm of cognition

2.3 Engineering perspective of cognition

2.4 Perception-action cycle

2.4.1 Bayesian filtering for optimal perception in the receiver

2.4.2 Shannon's entropy vs. Fisher information

2.4.3 Posterior Cramér-Rao lower bound

2.4.4 Sensitivity analysis

2.4.5 Dynamic programming for control in the transmitter

2.5 Memory

2.5.1 Perceptual memory

2.5.2 Executive memory

2.5.3 Working memory

2.6 Attention

2.7 Intelligence

2.8 Cyclic-directed information flow

2.8.1 Perceptual pathway

2.8.2 Executive pathway

2.8.3 How can we build on the directed information-flow graph to better understand the role of memory in cognition?

2.9 Experimental groundwork

2.9.1 State-space model

2.9.2 Construction of the two libraries

2.9.3 Performance metric

2.9.4 Track initialization

2.9.5 Memory

2.10 Experimental results: theoretical considerations

2.10.1 Posterior Cramér-Rao lower bound.

2.10.2 Tracking accuracy

2.11 Experimental results: practical considerations

2.12 Conclusion

3. Cognitive radar and its application to CFAR detection and receiver adaptation - A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta

3.1 Introduction

3.2 Existing examples of cognitive properties in modern radars

3.3 Cognitive CFAR-processing techniques

3.4 Exploiting multiple a priori spectral models for detection

3.5 Selected reference list on cognitive radar

3.6 Conclusion

4. Cognitive radar waveform design for spectral compatibility - A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta

4.1 Introduction

4.2 System and problem formulation

4.2.1 System model

4.2.2 Code design optimization formulation

4.2.3 Cognitive spectrum awareness

4.3 Solution algorithm and performance analysis

4.3.1 Local design solution technique

4.4 Conclusion

Appendix A

A.1 Waveform design algorithm for global interference requirements

A.2 Waveform design algorithm for local interference requirements

5. Cognitive optimization of the transmitter-receiver pair - A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta

5.1 Introduction

5.2 System model and problem formulation

5.2.1 System model

5.2.2 The role of cognition for environmental awareness

5.2.3 Code and receive filter bank optimization problem formulation

5.3 Joint transmit receive design: solution-technique and analysis

5.3.1 Performance analysis

5.4 Conclusion

Alternating optimization procedure to jointly design transmit signal and receive filter bank

A.1 Filter bank optimization: solution to problem Pw (n)

A.2 Radar code optimization: solution to problem Ps (n)

A.3 Transmit-receive system design: optimization procedure

References.

6. Cognitive control theory with an application - Mehdi Fatemi and Simon Haykin

6.1 Introduction

6.2 The two-state model

6.3 Formalism of the learning process in cognitive control

6.4 Cognitive-control-learning algorithm viewed as a special case of Bellman's dynamic programming

6.5 Optimality vs. convergence-rate in online implementation

6.6 Formalism of the planning process in cognitive control

6.6.1 Predicting the entropic reward in a Gaussian environment

6.7 Structural composition of the cognitive controller

6.8 Computational experiment: cognitive-tracking radar

6.8.1 Scenario 1: the impact of planning on cognitive control

6.8.2 Scenario 2: comparison of learning curves of three different cognitive controllers

6.9 Conclusion

6.9.1 Cognitive processing of information

6.9.2 Linearity, convergence, and optimality

6.9.3 Engineering application

7. Cognition in radar target tracking - A. De Maio, A. Farina, A. Aubry, V. Carotenuto, and L. Pallotta

7.1 Introduction

7.2 Cognitive multitarget tracking system

7.2.1 General architecture of the tracking filter

7.2.2 Cognitive tracker architecture

7.3 Waveform selection for target tracking

7.3.1 Waveform scheduling strategy

7.3.2 Case study

7.4 Conclusion

8. Anticipative target tracking with related study cases - A. Farina

8.1 Introduction

8.1.1 Anticipative target tracking

8.1.2 The case of MH370

8.2 Coordination of fore-active control and optimal guidance law for an interceptor study case

8.2.1 List of symbols

8.2.2 Introduction

8.2.3 Theoretical framework

8.2.4 Case study

8.2.5 Simulation results

8.2.6 Discussion

8.3 Conclusion

9. An overview on the exploitation of cognition in MIMO radar, electronic warfare, and synthetic aperture radar - A. Aubry, V. Carotenuto, A. De Maio, A. Farina, G. Fornaro, L. Pallotta, and A. Pauciullo

9.1 Introduction

9.2 Cognitive MIMO radar beampattern shaping

9.3 Cognition in EW systems

9.4 Advanced concepts in SAR: exploitation of cognition

9.4.1 3D localization and monitoring of displacements with interferometry

9.4.2 SAR tomography and complex domain analysis of the scattering in multibaseline SAR

9.4.3 Knowledge-based and cognitive concepts in SAR

9.5 Conclusion

10. A cross-disciplinary overview with potential application and examples for cognitive radar - A. Farina

10.1 Introduction

10.2 From information to intelligence...to exploit in cognitive radar

10.2.1 Birth certificate of the information age: the Annus Mirabilis 1948

10.2.2 Path forward to intelligence theory: perhaps!

10.3 Modeling everything with the new science of network

10.3.1 Some mathematical properties of networks

10.4 Bioinspired collective processing

10.4.1 Potential applications to cognitive radar

10.5 Mirror neurons: one of the most exciting events in neuroscience. Does it matter to cognitive radar?

10.5.1 Who discovered the mirror neuron phenomenon?

10.5.2 Potential impact of research on adaptive radar signal processing

10.6 Additional recent researchers on neurosciences

10.7 Memristors: the missing fourth element of circuits

10.7.1 Potential modeling of synapse and axon via memristors

10.8 The cybersecurity issue of a radar network

10.9 Conclusion

Index.

Notes:

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

1-83724-895-8

1-5231-1969-1

1-78561-581-5

OCLC:

1061097378