Impedance- and spatial-domain aliasing in interference management techniques

In modern communication systems, interference management is crucial in recovering desired target signals corrupted by the channel from various unknown interference and noise. In radio-frequency (RF) spectral interference problems in wireless communication, interference-tolerant RF front-end receiver design is becoming increasingly challenging, as modern wireless devices have to support many frequency bands with numerous front-end switches and costly acoustic filters. Since acoustic filters are mostly not tunable, O(K) acoustic filters are needed to cover K bands with switches to select the right filters. On top of that, the cost and size of next-generation RF front-ends are further stressed by the new trends in multi-in-multi-out (MIMO), broadband, and dynamic spectrum access which exacerbates the front-end design issues. As a solution to this problem, we propose blocker-tolerant programmable RF front-end receiver architecture, called mixer-first acoustic-filtering front end, which utilizes N-path structure to translate the frequency response of O(1) acoustic filter to cover O(K) bands over wide range of continuous frequencies with minimal loss penalty. Also, we demystify the impedance aliasing phenomenon caused by uncertainty at the interface between two distinct domains such as acoustic-electromagnetic interface. Also, aliasing property in spatial domain has been investigated to deal with spatial interference management problem. Unlike conventional approaches to prevent spatial aliasing issues in multi-sensor linear array, we propose a way to exploit the phenomenon to solve under-determined blind multi-target localization and source separation problems by aligning the interferers in spatial domain.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Seo, Hyungjoo

Contributors dc:contributor

• Zhou, Jin
• Roy Choudhury, Romit
• Hanumolu, Pavan
• Gong, Songbin

• Wireless
• Impedance Aliasing
• Angular Aliasing
• Spatial Aliasing
• Mixer-first
• Receivers
• Rfic
• Radio-frequency
• Super-heterodyne
• N-path
• N-path Mixer
• N-path Filter
• Interference Management
• Interference Rejection
• Image Rejection
• Hartley
• Weaver
• Lptv
• Cmos
• Acoustic Device
• Bandpass Filter
• Acoustic Filter
• Saw
• Frequency-translation
• Baw
• Programmable Receiver
• Software-defined Radio
• Cognitive Radio
• Source Separation
• Blind Source Separation
• Underdetermined
• Array Processing
• Signal Processing
• Robot Audition
• Robot Hearing
• Binaural
• Independent Component Analysis
• Beamforming
• Localization
• Angle-of-arrival
• Interference Alignment

Statement dc:rights

• Copyright 2022 Hyungjoo Seo

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/117567

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F117567