Abstract
In the context of acoustic monitoring, the location of a sound source can be passively estimated by exploiting time-of-arrival and time-difference-of-arrival measurements. To evaluate the fundamental hardness of a location estimator, the Cramer-Rao bound (CRB) has been used by many researchers. The CRB is computed by inverting the Fisher Information Matrix (FIM), which measures the amount of information carried by given distance measurements. The measurements are commonly expressed as actual distances plus white noise. However, the measurements do include extra noise types caused by time synchronization, acoustic sensing latency, and signal-tonoise ratio. Such noise can significantly affect the performance and depend highly on the sensing platforms such as Android smartphones. In this paper, we first remodel the acousticbased distance measurements considering such additive errors. Then, we derive a new FIM with the new statistical ranging error models. As a result, we obtain new CRBs for both noncooperative and cooperative localization schemes that provide better insight into the causality of the uncertainties. Theoretical analysis also proves that the proposed CRBs for localization become the old CRBs when the additional errors are ignored, which gives a robust check for the new CRBs. Thus, the new CRBs can serve as a benchmark for localization estimators with both new and old measurement models. The new CRBs also indicate that there is room to improve current localization schemes; however, it is a daunting challenge.
Original language | English |
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Title of host publication | 2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) |
Editors | Viet Duc Le |
Publisher | IEEE |
Pages | 83-92 |
Number of pages | 10 |
ISBN (Electronic) | 978-1-5090-1460-6 |
ISBN (Print) | 9781509014613 |
DOIs | |
Publication status | Published - 26 May 2016 |
Event | 12th International Conference on Distributed Computing in Sensor Systems, DCOSS 2016 - Washington, United States Duration: 26 May 2016 → 28 May 2016 Conference number: 12 http://www.dcoss.org/dcoss16/ |
Publication series
Name | |
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Publisher | IEEE Communications Society |
Conference
Conference | 12th International Conference on Distributed Computing in Sensor Systems, DCOSS 2016 |
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Abbreviated title | DCOSS 2016 |
Country/Territory | United States |
City | Washington |
Period | 26/05/16 → 28/05/16 |
Internet address |
Keywords
- Sound localization
- EWI-26941
- time difference of arrivals
- time of arrivals
- IR-100415
- noise diversity
- Cramer-Rao bound
- METIS-316892
- smartphone diversity