| Reference : Localization Performance of 1-Bit Passive Radars in NB-IoT Applications using Multiva... |
| Scientific journals : Article | |||
| Engineering, computing & technology : Electrical & electronics engineering | |||
| Security, Reliability and Trust | |||
| http://hdl.handle.net/10993/47506 | |||
| Localization Performance of 1-Bit Passive Radars in NB-IoT Applications using Multivariate Polynomial Optimization | |
| English | |
Sedighi, Saeid  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| Mishra, Kumar Vijay [] | |
| Mysore Rama Rao, Bhavani Shankar [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| 2021 | |
| IEEE Transactions on Signal Processing | |
| Institute of Electrical and Electronics Engineers | |
| 69 | |
| 525–2540 | |
| Yes | |
| International | |
| 1053-587X | |
| United States | |
| [en] localization ; narrowband internet-of-things ; one-bit quantization | |
| [en] Several Internet-of-Things (IoT) applications provide location-based services, wherein it is critical to obtain accurate position estimates by aggregating information from individual sensors.
In the recently proposed narrowband IoT (NB-IoT) standard, which trades off bandwidth to gain wide coverage, the location estimation is compounded by the low sampling rate receivers and limited-capacity links. We address both of these NB-IoT drawbacks in the framework of passive sensing devices that receive signals from the target-of-interest. We consider the limiting case where each node receiver employs one-bit analog-to-digital-converters and propose a novel low-complexity nodal delay estimation method using constrained-weighted least squares minimization. To support the low-capacity links to the fusion center (FC), the range estimates obtained at individual sensors are then converted to one-bit data. At the FC, we propose target localization with the aggregated one-bit range vector using both optimal and sub-optimal techniques. The computationally expensive former approach is based on Lasserre's method for multivariate polynomial optimization while the latter employs our less complex iterative joint r\textit{an}ge-\textit{tar}get location \textit{es}timation (ANTARES) algorithm. Our overall one-bit framework not only complements the low NB-IoT bandwidth but also supports the design goal of inexpensive NB-IoT location sensing. Numerical experiments demonstrate feasibility of the proposed one-bit approach with a 0.6\% increase in the normalized localization error for the small set of 20-60 nodes over the full-precision case. When the number of nodes is sufficiently large (>80), the one-bit methods yield the same performance as the full precision. | |
| Fonds National de la Recherche - FnR | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/10993/47506 | |
| 10.1109/TSP.2021.3072834 |
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