221 Thz Prism Oneshot Simultaneous Multinode Angular Localization Using
Spectrumtospace Mapping With 360To400ghz Broadband Transceiver And
Dualport Integrated Leakywave Antennas
- doi: 10.1109/ISSCC42613.2021.9366041
-
title: 22.1 THz Prism: One-Shot Simultaneous Multi-Node
Angular Localization Using Spectrum-to-Space Mapping with 360-to-400GHz
Broadband Transceiver and Dual-Port Integrated Leaky-Wave Antennas
- publisher: IEEE
- isbn: 978-1-7281-9550-6
- issn: 0193-6530
- rank: 48
- access_type: LOCKED
- content_type: Conferences
-
abstract: The spectrum above 100GHz is expected to
spawn a generation of ultra-high-speed wireless links and intelligent
sensing and imaging applications. They are meant to be supported through
a heterogeneous and dynamically reconfigurable wireless network fabric
in 5G and beyond. Such wireless communication and sensing applications
require rapid localization and direction finding of mobile nodes [1].
This functionality is paramount for communications-on-the-move
applications, wireless link discovery, and rapid beam alignment/tracking
at mm-wave and THz frequencies [2]-[9]. The current protocols for
direction finding and beam alignment in 5G mm-wave systems are based on
iterative algorithms that are often non-scalable, time-consuming, and
computationally expensive, posing serious challenges for low-latency
applications. Thus there is a need to process such direction-finding
methods at the `edge nodes', to enable secure scalable networks with
very low latencies [10]. In this article, we present a spectrum-to-space
mapping principle, where localization information can be processed at
the edge `sensor node' through the spectrum sensing. The conceptual idea
is presented in Fig. 22.1.1, which shows an access point
(transmitter/receiver) that acts as a THz prism casting different
spectral portions of a broadband THz signal across space. If the mapping
is unique, multiple edge nodes can simultaneously localize themselves in
a single-shot fashion through localized spectrum sensing, avoiding the
use of the slow iterative process and bi-directional communication. In
this paper, we present a scalable 360-to-400GHz transceiver architecture
in 65nm CMOS with frequency-dependent beam synthesis using two dual-port
integrated frequency-dispersive leaky-wave antennas. The two antennas
when excited/sensed across the two opposite end-ports, cover a 1D
spatial angle $across \pm 40^{\circ}$, and enable 2D localization with
two such ICs covering both orthogonal basis vectors with a
frequency-offset radiation (Fig. 22.1.1). Exploiting the
cross-correlation of the spectrum-to-space mapping (Fig. 22.1.1), the
system achieves 2D localization accuracy of $\sigma_{\varphi},= 1.9$ °
and $\sigma_{theta}= 1.95^{\circ}$ for a measurement resolution
bandwidth (RBW) of 20Hz.
- article_number: 9366041
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9366041
-
html_url:
https://ieeexplore.ieee.org/document/9366041/
-
abstract_url:
https://ieeexplore.ieee.org/document/9366041/
-
publication_title: 2021 IEEE International Solid-State
Circuits Conference (ISSCC)
- conference_location: San Francisco, CA, USA
- conference_dates: 13-22 Feb. 2021
- publication_number: 9365732
- is_number: 9365735
- publication_year: 2021
- publication_date: 13-22 Feb. 2021
- start_page: 314
- end_page: 316
- citing_paper_count: 36
- citing_patent_count: 0
- download_count: 1721
- insert_date: 20210303
-
index_terms:
-
ieee_terms:
- Location awareness
- Wireless sensor networks
- Frequency synthesizers
- Two dimensional displays
- Leaky wave antennas
- Transceivers
- Sensors
-
dynamic_index_terms:
- Leaky-wave Antenna
- Iterative Algorithm
- Vector-based
- Basis Vectors
- Imaging Applications
- Differential Signal
- Differentiation Signaling
- Second Harmonic Generation
- Low Latency
- Radiation Pattern
- Node Positions
- Location Of Nodes
- Challenge For Applications
- Bidirectional Communication
- Wireless Link
- Radio Link
- Edge Nodes
- Conceptual Ideas
- Formation Of Ideas
- Angle Estimation
- Noise Figure
- Mm-wave Frequencies
- Network Reconfiguration
- Measured Radiation Patterns
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-7281-9550-6,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-7281-9549-0,
isbnType: New-2005
-
authors:
-
Author Name: Hooman Saeidi
Affiliation: Princeton University, Princeton, NJ
Author URL:
https://ieeexplore.ieee.org/author/37086928595
ID: 37086928595
Order: 1
Author Affiliations:
- Princeton University, Princeton, NJ
-
Author Name: Suresh Venkatesh
Affiliation: Princeton University, Princeton, NJ
Author URL:
https://ieeexplore.ieee.org/author/37088206147
ID: 37088206147
Order: 2
Author Affiliations:
- Princeton University, Princeton, NJ
-
Author Name: Xuyang Lu
Affiliation: Princeton University, Princeton, NJ
Author URL:
https://ieeexplore.ieee.org/author/37085997000
ID: 37085997000
Order: 3
Author Affiliations:
- Princeton University, Princeton, NJ
-
Author Name: Kaushik Sengupta
Affiliation: Princeton University, Princeton, NJ
Author URL:
https://ieeexplore.ieee.org/author/37545750600
ID: 37545750600
Order: 4
Author Affiliations:
- Princeton University, Princeton, NJ
Image Sensor
- sensor_type: CMOS
-
resolution: 360 to 400 GHz transceiver architecture
- dynamic_range: Not specified
- pixel_size: Not specified
- dark_current: Not specified
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
Applications & Benefits
-
cell_imaging: The paper discusses localization and
direction finding, but does not specify cell imaging applications
directly.
-
benefits: The approach enables low latency applications
for various systems operating in the 360 to 400 GHz range.
Supporting Organizations
-
supported_by: Office of Naval Research, Air Force
Office of Scientific Research, MURI Program, DURIP program
Manuscript Details
- publication_date: 13-22 Feb. 2021
Relevancy Score
- score: 4
-
missing_fields:
- pixel_size
- dynamic_range
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
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