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Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

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Bio-Inspired Radio-Frequency Source Localization Based on Cochlear Cross-Correlograms.

Yingying Wang¹, Soumyajit Mandal^1,2

¹Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, United States.

Frontiers in Neuroscience

|March 8, 2021

Summary

This summary is machine-generated.

This study presents a bio-inspired radio frequency (RF) system using "RF cochlea" chips for analyzing radio spectrum and localizing multiple sources. The system utilizes cross-correlograms, analogous to auditory cues, for accurate time-delay and azimuthal source localization.

Keywords:

RF cochlea cognitive radio cross-correlograms source localization spectrum analysis

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Area of Science:

Radio Frequency (RF) Engineering
Bio-inspired Systems
Signal Processing

Background:

Current RF scene analysis systems lack bio-inspired approaches for real-time multi-source localization.
Existing methods often struggle with complex signal environments and varying signal-to-noise ratios (SNR).

Purpose of the Study:

To develop and validate a bio-inspired RF scene analysis system using novel
RF cochlea
chips.
To demonstrate the system's capability for real-time multi-source localization through cross-correlation analysis.
To investigate the use of time-delay and signal strength differences for azimuthal source localization.

Main Methods:

Implementation of digitally-programmable
RF cochlea
chips with 50 exponentially-spaced stages (1.0–8.3 GHz).
Integration of an output encoding network for delta-sigma (Δ-Σ) modulated digital signal generation.
Generation of cochlear correlation matrices (cross-correlograms) by multiplying outputs of two RF cochleas.

Main Results:

Simulation results show effective wide-range time-delay estimation and multi-source localization across various frequencies and SNRs.
Over-the-air measurements confirm azimuthal source localization at 3.4 GHz using time-delay estimates analogous to interaural time differences (ITDs).
Received signal strength differences, analogous to interaural level differences (ILDs), also proved effective for RF source localization.

Conclusions:

The developed bio-inspired RF system effectively analyzes radio frequency scenes.
Cross-correlograms derived from
RF cochleas
enable accurate time-delay estimation and multi-source localization.
The system's performance, validated by simulations and real-world measurements, highlights its potential for advanced RF sensing applications.