Pub Date : 2024-11-05DOI: 10.1109/TMTT.2024.3479728
Filipe M. Barradas;Luís C. Nunes;José C. Pedro;Christophe Erdmann
Dual-input single-output (DISO) radio frequency (RF) power amplifiers (PAs) have gathered significant interest for highly efficient amplification of modulated signals. DISO PAs provide advantages over their single-input single-output (SISO) counterparts, both for design and operation. However, contrary to SISO, driving DISO PAs requires an extraction of the optimum driving signals to maximize the power-added efficiency (PAE), and some input conditions can easily make the PA operate in a nonsafe region. This article presents algorithms to safely derive these optimal input signals. Two types of algorithms are proposed, which are dubbed “exploration” and “extraction”; the exploration algorithm finds a safe operation region of the DISO PA from minimal a priori information on the device under test; the extraction algorithm finds the optimal input drive from the exploration algorithm data. These algorithms are tested and validated in simulation and measurement for different DISO PA architectures.
{"title":"Optimal Driving Signal Extraction for Maximum Efficiency of Dual-Input High Power Amplifiers","authors":"Filipe M. Barradas;Luís C. Nunes;José C. Pedro;Christophe Erdmann","doi":"10.1109/TMTT.2024.3479728","DOIUrl":"https://doi.org/10.1109/TMTT.2024.3479728","url":null,"abstract":"Dual-input single-output (DISO) radio frequency (RF) power amplifiers (PAs) have gathered significant interest for highly efficient amplification of modulated signals. DISO PAs provide advantages over their single-input single-output (SISO) counterparts, both for design and operation. However, contrary to SISO, driving DISO PAs requires an extraction of the optimum driving signals to maximize the power-added efficiency (PAE), and some input conditions can easily make the PA operate in a nonsafe region. This article presents algorithms to safely derive these optimal input signals. Two types of algorithms are proposed, which are dubbed “exploration” and “extraction”; the exploration algorithm finds a safe operation region of the DISO PA from minimal a priori information on the device under test; the extraction algorithm finds the optimal input drive from the exploration algorithm data. These algorithms are tested and validated in simulation and measurement for different DISO PA architectures.","PeriodicalId":13272,"journal":{"name":"IEEE Transactions on Microwave Theory and Techniques","volume":"73 1","pages":"180-194"},"PeriodicalIF":4.1,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1109/TMTT.2024.3485246
Lucas Lum;Zhi Kai Ng;Rong Tao Jiang;Chong Wei Tan;Edwin Hang Tong Teo;Beng Kang Tay
Accurately measuring the dielectric properties of anisotropic materials is challenging due to their fragility and small size. This study addressed these issues for vertically aligned carbon nanotubes (VACNTs) by engineering them to delaminate from the substrate, retain orientation and porosity, and grow to millimeter lengths. This approach allowed for effective use of the Nicolson-Ross–Weir (NRW) method without additional techniques. While alternative methods by Susek et al. and Knisely et al. might offer higher accuracy, the proposed method is practicable with commercially available equipment, achieving reliable dielectric measurements.
{"title":"Reply to Comments on “Anisotropic Microwave Properties of Vertically Aligned Carbon Nanotube Arrays”","authors":"Lucas Lum;Zhi Kai Ng;Rong Tao Jiang;Chong Wei Tan;Edwin Hang Tong Teo;Beng Kang Tay","doi":"10.1109/TMTT.2024.3485246","DOIUrl":"https://doi.org/10.1109/TMTT.2024.3485246","url":null,"abstract":"Accurately measuring the dielectric properties of anisotropic materials is challenging due to their fragility and small size. This study addressed these issues for vertically aligned carbon nanotubes (VACNTs) by engineering them to delaminate from the substrate, retain orientation and porosity, and grow to millimeter lengths. This approach allowed for effective use of the Nicolson-Ross–Weir (NRW) method without additional techniques. While alternative methods by Susek et al. and Knisely et al. might offer higher accuracy, the proposed method is practicable with commercially available equipment, achieving reliable dielectric measurements.","PeriodicalId":13272,"journal":{"name":"IEEE Transactions on Microwave Theory and Techniques","volume":"72 12","pages":"7087-7087"},"PeriodicalIF":4.1,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1109/TMTT.2024.3486242
Tasin Nusrat;Stavros Vakalis
A new method of millimeter-wave (mmWave) radar sensing using distributed repeaters that can address the strong specular reflections is presented in this article. Specular reflections happen when targets reflect incident electromagnetic signals at specific directions depending on the angle of incidence. These mirror-like reflections can degrade radar performance and make detection more challenging as transmitted radar energy does not necessarily reflect back to the radar receiver. This article proposes a way to combat the specular responses from scattering targets by utilizing distributed repeater apertures at mmWave frequencies. Distributed repeaters can capture and retransmit the specular wavefront to improve the target detection and enhance image reconstruction. In this article, we discuss the theory behind our work, include simulated results and verify our approach by building experimental 36–38 GHz mmWave imaging systems with one and two distributed repeaters. The results presented in this article pave the way for accurate detection of highly specular targets.
{"title":"Addressing Specularity: Millimeter-Wave Radar With Distributed Repeater Apertures","authors":"Tasin Nusrat;Stavros Vakalis","doi":"10.1109/TMTT.2024.3486242","DOIUrl":"https://doi.org/10.1109/TMTT.2024.3486242","url":null,"abstract":"A new method of millimeter-wave (mmWave) radar sensing using distributed repeaters that can address the strong specular reflections is presented in this article. Specular reflections happen when targets reflect incident electromagnetic signals at specific directions depending on the angle of incidence. These mirror-like reflections can degrade radar performance and make detection more challenging as transmitted radar energy does not necessarily reflect back to the radar receiver. This article proposes a way to combat the specular responses from scattering targets by utilizing distributed repeater apertures at mmWave frequencies. Distributed repeaters can capture and retransmit the specular wavefront to improve the target detection and enhance image reconstruction. In this article, we discuss the theory behind our work, include simulated results and verify our approach by building experimental 36–38 GHz mmWave imaging systems with one and two distributed repeaters. The results presented in this article pave the way for accurate detection of highly specular targets.","PeriodicalId":13272,"journal":{"name":"IEEE Transactions on Microwave Theory and Techniques","volume":"73 1","pages":"373-382"},"PeriodicalIF":4.1,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10745128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1109/TMTT.2024.3484581
Arne Fischer-Bühner;Lauri Anttila;Matias Turunen;Manil Dev Gomony;Mikko Valkama
In this article, we present a highly accurate recurrent neural network (RNN) for behavioral modeling and digital predistortion (DPD) of radio frequency (RF) power amplifiers (PAs). We describe a deep, residual recurrent unit (RRU) that minimizes the overhead of the recurrent operation. Phase normalization is incorporated with the proposed unit to allow for efficient processing of the baseband signal phase with the real-valued RNN structure. Furthermore, we augment the phase normalization concept with dedicated envelope cell states that support the mapping of RF envelope dominated distortions. Combination with a trainable, input-ended finite impulse response (FIR) filtering leads us to proposing the augmented phase-normalized RRU (APNRRU). Our experimental validation, including a detailed modeling study of the proposed concepts with three different GaN Doherty PA units, as well as several DPD linearization examples, shows that the APNRRU offers excellent linearization already with modest complexity of just 550 model parameters. In addition, the results demonstrate the ability to linearize also demanding wideband PA operation with noncontiguous multicarrier signals with 400-MHz composite bandwidth, outperforming the prior art solutions.
{"title":"Augmented Phase-Normalized Recurrent Neural Network for RF Power Amplifier Linearization","authors":"Arne Fischer-Bühner;Lauri Anttila;Matias Turunen;Manil Dev Gomony;Mikko Valkama","doi":"10.1109/TMTT.2024.3484581","DOIUrl":"https://doi.org/10.1109/TMTT.2024.3484581","url":null,"abstract":"In this article, we present a highly accurate recurrent neural network (RNN) for behavioral modeling and digital predistortion (DPD) of radio frequency (RF) power amplifiers (PAs). We describe a deep, residual recurrent unit (RRU) that minimizes the overhead of the recurrent operation. Phase normalization is incorporated with the proposed unit to allow for efficient processing of the baseband signal phase with the real-valued RNN structure. Furthermore, we augment the phase normalization concept with dedicated envelope cell states that support the mapping of RF envelope dominated distortions. Combination with a trainable, input-ended finite impulse response (FIR) filtering leads us to proposing the augmented phase-normalized RRU (APNRRU). Our experimental validation, including a detailed modeling study of the proposed concepts with three different GaN Doherty PA units, as well as several DPD linearization examples, shows that the APNRRU offers excellent linearization already with modest complexity of just 550 model parameters. In addition, the results demonstrate the ability to linearize also demanding wideband PA operation with noncontiguous multicarrier signals with 400-MHz composite bandwidth, outperforming the prior art solutions.","PeriodicalId":13272,"journal":{"name":"IEEE Transactions on Microwave Theory and Techniques","volume":"73 1","pages":"412-422"},"PeriodicalIF":4.1,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10745136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-30DOI: 10.1109/TMTT.2024.3479218
Francesca Schenkel;Thorsten Schultze;Christoph Baer;Jan C. Balzer;Ilona Rolfes;Christian Schulz
Understanding and detecting smoke effectively is crucial in emergency scenarios where traditional optical methods may fail. This article investigates the definition of smoke and its characterization from an electromagnetic perspective, focusing particularly on the use of frequency-modulated continuous wave (FMCW) radar sensors operating in the millimeter-wave range. We explore the influence of both laminar and turbulent smoke flows on the measurement accuracy. Our study is grounded in dielectric models in the millimeter-wave spectrum, demonstrating that the dielectric properties of smoke exhibit minimal variations. Consequently, we use phase-based radar signal processing to detect these subtle changes. Unlike previous studies that primarily evaluate sensor performance, this article aims to use the minimal impact on the measured signal to characterize different smoke scenarios comprehensively. Our findings demonstrate that radar sensors can provide valuable insights into smoke properties and are suitable to extend material model for millimeter-wave frequencies, enhancing situational awareness and response strategies in smoke-obscured environments.
{"title":"Smoke Detection and Combustion Analysis Using Millimeter-Wave Radar Measurements","authors":"Francesca Schenkel;Thorsten Schultze;Christoph Baer;Jan C. Balzer;Ilona Rolfes;Christian Schulz","doi":"10.1109/TMTT.2024.3479218","DOIUrl":"https://doi.org/10.1109/TMTT.2024.3479218","url":null,"abstract":"Understanding and detecting smoke effectively is crucial in emergency scenarios where traditional optical methods may fail. This article investigates the definition of smoke and its characterization from an electromagnetic perspective, focusing particularly on the use of frequency-modulated continuous wave (FMCW) radar sensors operating in the millimeter-wave range. We explore the influence of both laminar and turbulent smoke flows on the measurement accuracy. Our study is grounded in dielectric models in the millimeter-wave spectrum, demonstrating that the dielectric properties of smoke exhibit minimal variations. Consequently, we use phase-based radar signal processing to detect these subtle changes. Unlike previous studies that primarily evaluate sensor performance, this article aims to use the minimal impact on the measured signal to characterize different smoke scenarios comprehensively. Our findings demonstrate that radar sensors can provide valuable insights into smoke properties and are suitable to extend material model for millimeter-wave frequencies, enhancing situational awareness and response strategies in smoke-obscured environments.","PeriodicalId":13272,"journal":{"name":"IEEE Transactions on Microwave Theory and Techniques","volume":"73 1","pages":"361-372"},"PeriodicalIF":4.1,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10738843","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-29DOI: 10.1109/TMTT.2024.3479132
Yulin He;Kewei Song;Haonan Wu;Milton Feng
We report on the development of a fast signal integrity (SI) diagnosis and pathfinding tool for a Peripheral Component Interconnect Express (PCIe) 5.0 connector based on the distributed physical-based transmission line (dPBTL) circuit model. Frequency-dependent loading resonances due to add-in card (AIC) and baseboard (BB) are identified via HFSS field simulation and analysis. The subcircuit models for ground-cavity (GC) and stub-effect resonances are established and matched well with the field simulated. The integrated dPBTL accurately predicts differential-mode performances and resonant crosstalk up to 64 GHz, speeds up simulation by $5000times $