2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Paper Detail

Paper IDSAM-9.1
Paper Title TARGET DETECTION FROM DISTRIBUTED PASSIVE SENSORS: SEMI-LABELED DATA QUANTIZATION
Authors Zachariah Sutton, Peter Willett, University of Connecticut, United States; Stefano Marano, University of Salerno, Italy
SessionSAM-9: Detection and Classification
LocationGather.Town
Session Time:Thursday, 10 June, 16:30 - 17:15
Presentation Time:Thursday, 10 June, 16:30 - 17:15
Presentation Poster
Topic Sensor Array and Multichannel Signal Processing: [RAS-DTCL] Target detection, classification, localization
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Consider a test at a particular point in space for the existence of a point target using intensity measurements from passive sensors distributed uniformly around the test location. The distance from the test location of a particular sensor is relevant to the decision making, and is considered "labeling" on the sensor's intensity data. This work considers the case where both the intensity data and the label (distance) values are coarsely quantized to decrease communication cost. It will be shown that, for a given per-measurement communication budget, there exists an ideal quantization rule. The results provide a method for choosing between possible apportionments of the communication budget between data (intensity) and labeling (distance).