Advances in Waveform-Agile Sensing for Tracking

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Morgan & Claypool Publishers, Dec 15, 2008 - Technology & Engineering - 74 pages
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Recent advances in sensor technology and information processing afford a new flexibility in the design of waveforms for agile sensing. Sensors are now developed with the ability to dynamically choose their transmit or receive waveforms in order to optimize an objective cost function. This has exposed a new paradigm of significant performance improvements in active sensing: dynamic waveform adaptation to environment conditions, target structures, or information features. The manuscript provides a review of recent advances in waveform-agile sensing for target tracking applications. A dynamic waveform selection and configuration scheme is developed for two active sensors that track one or multiple mobile targets. A detailed description of two sequential Monte Carlo algorithms for agile tracking are presented, together with relevant Matlab code and simulation studies, to demonstrate the benefits of dynamic waveform adaptation. The work will be of interest not only to practitioners of radar and sonar, but also other applications where waveforms can be dynamically designed, such as communications and biosensing.

Table of Contents: Waveform-Agile Target Tracking Application Formulation / Dynamic Waveform Selection with Application to Narrowband and Wideband Environments / Dynamic Waveform Selection for Tracking in Clutter / Conclusions / CRLB Evaluation for Gaussian Envelope GFM Chirp from the Ambiguity Function / CRLB Evaluation from the Complex Envelope

 

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Contents

Introduction
1
13 ORGANIZATION
3
WaveformAgile Target Tracking Application Formulation
7
211 THE PARTICLE FILTER
8
212 THE UNSCENTED PARTICLE FILTER
9
221 TARGET DYNAMICS
10
222 TRANSMITTED WAVEFORM STRUCTURE
11
223 OBSERVATIONS MODEL
12
363 SIMULATION
29
364 DISCUSSION
33
Dynamic Waveform Selection for Tracking in Clutter
35
413 TARGET TRACKING WITH PROBABILISTIC DATA ASSOCIATION
36
414 WAVEFORM SELECTION IN THE PRESENCE OF CLUTTER
37
415 SIMULATION
38
416 DISCUSSION
41
417 PERFORMANCE UNDER DIFFERENT CHOICES OF THE WEIGHTING MATRIX
42

224 MEASUREMENT NOISE COVARIANCE
13
225 WAVEFORM SELECTION PROBLEM STATEMENT
14
Dynamic Waveform Selection with Application to Narrowband and Wideband Environments
15
321 CALCULATION OF THE GRADIENT
16
323 STOCHASTIC GRADIENT DESCENT ALGORITHM
18
324 DRAWBACKS
19
34 ALGORITHM FOR WAVEFORM SELECTION
21
351 WAVEFORM STRUCTURE
22
352 CRLB FOR GFM PULSES
23
353 SIMULATION
24
354 DISCUSSION
26
36 WIDEBAND ENVIRONMENT
27
361 WIDEBAND SIGNAL MODEL
28
42 MULTIPLE TARGETS
46
422 MEASUREMENT MODEL
47
425 DYNAMIC WAVEFORM SELECTION AND CONFIGURATION
49
426 SIMULATION
50
427 DISCUSSION
52
Conclusions
53
CRLB evaluation for Gaussian Envelope GFM Chirp from the ambiguity function
55
CRLB evaluation from the complex envelope
59
Sample code for a simple particle filter
61
Sample code for an unscented particle filter
65
Bibliography
69
Biography
74
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