|
" Advances in waveform-agile sensing for tracking / "
Sandeep Prasad Sira, Antonia Papandreou-Suppappola, Darryl Morrell
| Document Type
|
:
|
BL
|
| Record Number
|
:
|
694625
|
| Doc. No
|
:
|
b516814
|
| Main Entry
|
:
|
Sira, Sandeep Prasad
|
| Title & Author
|
:
|
Advances in waveform-agile sensing for tracking /\ Sandeep Prasad Sira, Antonia Papandreou-Suppappola, Darryl Morrell
|
| Publication Statement
|
:
|
San Rafael (Calif.) :: Morgan & Claypool,, c2009
|
| Series Statement
|
:
|
Synthesis lectures on algorithms and software in engineering ;; #2
|
| Page. NO
|
:
|
ix, 74 p. :: ill. ;; 24 cm
|
| ISBN
|
:
|
159829671X
|
|
|
:
|
: 9781598296716
|
| Notes
|
:
|
"This volume is a printed version of a work that appears in the Synthesis digital library of engineering and computer science"--P. [4] of cover
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references (p. 69-73)
|
| Contents
|
:
|
Waveform-agile target tracking application formulation -- Dynamic waveform selection with application to narrowband and wideband environments -- Dynamic waveform selection for tracking in clutter
|
| Abstract
|
:
|
"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."--P. [vi]
|
| Subject
|
:
|
Sensor networks-- Mathematical models
|
| Subject
|
:
|
Wave functions-- Mathematical models
|
| Dewey Classification
|
:
|
621.38
|
| LC Classification
|
:
|
TK7872.D48S572 2009
|
| Added Entry
|
:
|
Morrell, Darryl
|
|
|
:
|
Papandreou-Suppappola, Antonia
|
| |