Abstract
One of the main drawbacks of the well-known Direct Position Determination (DPD) method is the requirement that raw data be transferred to a common processor. It would therefore be of high practical value if DPD - or a modified version thereof - could be successfully applied to a coarsely quantized version of the raw data, thus alleviating the communication requirements between the different base stations. Motivated by the above, and inspired by recent work in the rejuvenated one-bit array processing field, we present One-Bit DPD: a direct localization method based on one-bit quantized measurements. We show that despite the coarse quantization, the proposed method nonetheless yields a position estimate with appealing asymptotic properties. We further establish the identifiability conditions of this model, which rely only on second-order statistics. Simulation results corroborate our analytical derivations, demonstrating that much of the information regarding the emitter position is preserved under this crude form of quantization.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE Statistical Signal Processing Workshop, SSP 2021 |
| Publisher | IEEE Computer Society |
| Pages | 466-470 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728157672 |
| DOIs | |
| State | Published - 11 Jul 2021 |
| Externally published | Yes |
| Event | 21st IEEE Statistical Signal Processing Workshop, SSP 2021 - Virtual, Rio de Janeiro, Brazil Duration: 11 Jul 2021 → 14 Jul 2021 |
Publication series
| Name | IEEE Workshop on Statistical Signal Processing Proceedings |
|---|---|
| Volume | 2021-July |
Conference
| Conference | 21st IEEE Statistical Signal Processing Workshop, SSP 2021 |
|---|---|
| Country/Territory | Brazil |
| City | Virtual, Rio de Janeiro |
| Period | 11/07/21 → 14/07/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Array processing
- beamforming
- direct position determination
- emitter localization
- one-bit quantization
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