Explanipedia

Fine Grained Analysis and Optimization of Large Scale Automotive Radar Networks Open

Mohammad Taha Shah, Gourab Ghatak, Shobha Sundar Ram · 2024

Advanced driver assistance systems (ADAS) enabled by automotive radars have significantly enhanced vehicle safety and driver experience. However, the extensive use of radars in dense road conditions introduces mutual interference, which de…

Modeling and Statistical Characterization of Large-Scale Automotive Radar Networks Open

Mohammad Taha Shah, Gourab Ghatak, Ankit Kumar, Shobha Sundar Ram · 2024

The impact of discrete clutter and co-channel interference on the performance of automotive radar networks has been studied using stochastic geometry, in particular, by leveraging two-dimensional Poisson point processes (PPPs). However, su…

Guest Editorial: Advances in AI‐assisted radar sensing applications Open

Shelly Vishwakarma, Kevin Chetty, Julien Le Kernec, Qing-Chao Chen, Raviraj Adve , et al. · 2024

Recent developments in Artificial Intelligence (AI) and the accessibility of cost-effective radar hardware have transformed various sectors, including e-healthcare, smart cities, and critical infrastructures. AI holds immense potential for…

Impact of Urban Street Geometry on the Detection Probability of Automotive Radars Open

Mohammad Taha Shah, Ankit Kumar, Gourab Ghatak, Shobha Sundar Ram · 2023

Prior works have analyzed the performance of millimeter wave automotive radars in the presence of diverse clutter and interference scenarios using stochastic geometry tools instead of more time-consuming measurement studies or system-level…

Radar Enhanced Multi-Armed Bandit for Rapid Beam Selection in Millimeter Wave Communications Open

Akanksha Sneh, Sumit J. Darak, Shobha Sundar Ram, Manjesh K. Hanawal · 2023

Multi-arm bandit (MAB) algorithms have been used to learn optimal beams for millimeter wave communication systems. Here, the complexity of learning the optimal beam linearly scales with the number of beams, leading to high latency when the…

Reconfigurable Radar Signal Processing Accelerator for Integrated Sensing and Communication System Open

Shragvi Sidharth Jha, Aakanksha Tewari, Sumit J. Darak, Akanksha Sneh, Shobha Sundar Ram · 2023

IEEE 802.11ad-based integrated sensing and communications (ISAC) have been identified as a potential solution for enabling next-generation intelligent transportation systems in the millimeter wave (mmW) spectrum. The radar functionality wi…

Estimation of Electrical Characteristics of Inhomogeneous Walls Using Generative Adversarial Networks Open

Kainat Yasmeen, Shobha Sundar Ram · 2023

Through-wall radars are researched and developed for the detection, localization, and tracking of human activities in indoor environments. Electromagnetic wave propagation through walls introduces refraction, attenuation, multipath, and gh…

Antenna Design Optimization using GAN-based Surrogate Model Open

Kainat Yasmeen, Kumar Vijay Mishra, A V Subramanyam, Shobha Sundar Ram · 2023

Deep neural network (DNN) based surrogate models have been used to rapidly create antenna characteristics as a function of design geometry parameters in place of computationally expensive electromagnetic (EM) solvers.The limitation of sing…

Estimation of Electrical Characteristics of Inhomogeneous Walls Using Generative Adversarial Networks Open

Kainat Yasmeen, Shobha Sundar Ram · 2022

Through-wall radars are researched and developed for the detection, localization, and tracking of human activities in indoor environments. Electromagnetic wave propagation through walls introduces refraction, attenuation, multipath, and gh…

Circularly Polarized Fabry-Perot Cavity Sensing Antenna Design using Generative Model Open

Kainat Yasmeen, Kumar Vijay Mishra, A. Subramanyam, Shobha Sundar Ram · 2022

We consider the problem of designing a circularly polarized Fabry-P'erot cavity (FPC) antenna for S-band sensing applications such as satellite navigation and communication. The spatial distribution of peripheral roughness of the unit cell…

Fusion of Inverse Synthetic Aperture Radar and Camera Images for Automotive Target Tracking Open

Shobha Sundar Ram · 2022

Automotive targets undergoing turns in road junctions offer large synthetic apertures over short dwell times to automotive radars that can be exploited for obtaining fine cross-range resolution. Likewise, the wide bandwidths of the automot…

IEEE 802.11ad Based Joint Radar Communication Transceiver: Design, Prototype and Performance Analysis Open

Akanksha Sneh, Soumya Jain, V Sri Sindhu, Shobha Sundar Ram, Sumit J. Darak · 2022

Rapid beam alignment is required to support high gain millimeter wave (mmW) communication links between a base station (BS) and mobile users (MU). The standard IEEE 802.11ad protocol enables beam alignment at the BS and MU through a length…

Optimization of Network Throughput of Joint Radar Communication System Using Stochastic Geometry Open

Shobha Sundar Ram, Shubhi Singhal, Gourab Ghatak · 2022

Recently joint radar communication (JRC) systems have gained considerable interest for several applications such as vehicular communications, indoor localization and activity recognition, covert military communications, and satellite based…

Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images Open

Neeraj Pandey, Shobha Sundar Ram · 2022

We present a framework for simulating realistic inverse synthetic aperture radar images of automotive targets at millimeter wave frequencies. The model incorporates radar scattering phenomenology of commonly found vehicles along with range…

Estimation of Bistatic Radar Detection Performance Under Discrete Clutter Conditions Using Stochastic Geometry Open

Shobha Sundar Ram, Gourab Ghatak · 2022

We propose a metric called the bistatic radar detection coverage probability to evaluate the detection performance of a bistatic radar under discrete clutter conditions. Such conditions are commonly encountered in indoor and outdoor enviro…

Optimization of Network Throughput of Joint Radar Communication System Using Stochastic Geometry Open

Shobha Sundar Ram, Gourab Ghatak · 2022

Recently joint radar communication (JRC) systems have gained considerable interest for several applications such as vehicular communications, indoor localization and activity recognition, covert military communications, and satellite-based…

Sparsity‐based autoencoders for denoising cluttered radar signatures Open

Shobha Sundar Ram, Shelly Vishwakarma, Akanksha Sneh, Kainat Yasmeen · 2021

Narrowband and broadband indoor radar images significantly deteriorate in the presence of target‐dependent and target‐independent static and dynamic clutter arising from walls. A stacked and sparse denoising autoencoder (StackedSDAE) is pr…

Classification Of Automotive Targets Using Inverse Synthetic Aperture\n Radar Images Open

Neeraj Pandey, Shobha Sundar Ram · 2021

We present a framework for simulating realistic inverse synthetic aperture\nradar images of automotive targets at millimeter wave frequencies. The model\nincorporates radar scattering phenomenology of commonly found vehicles along\nwith ra…

Optimization of Radar Parameters for Maximum Detection Probability Under Generalized Discrete Clutter Conditions Using Stochastic Geometry Open

Shobha Sundar Ram, Gaurav Singh, Gourab Ghatak · 2021

We propose an analytical framework based on stochastic geometry (SG) formulations to estimate a radar's detection performance under generalized discrete clutter conditions. We model the spatial distribution of discrete clutter scatterers a…

Synthesis of Micro-Doppler Signatures of Human Activities From Different Aspect Angles Using Generative Adversarial Networks Open

Ibrahim Alnujaim, Shobha Sundar Ram, Daegun Oh, Youngwook Kim · 2021

In this paper, we propose to produce synthesized micro-Doppler signatures from different aspect angles through conditional generative adversarial networks (cGANs). Micro-Doppler signatures of non-rigid human body motions vary considerably …

Optimization of Radar Parameters for Maximum Detection Probability Under Generalized Discrete Clutter Conditions Using Stochastic Geometry Open

Shobha Sundar Ram, Gaurav Singh, Gourab Ghatak · 2021

We propose an analytical framework based on stochastic geometry (SG) formulations to estimate a radar's detection performance under generalized discrete clutter conditions. We model the spatial distribution of discrete clutter scatterers a…

Doppler-Resilient 802.11ad-Based Ultrashort Range Automotive Joint Radar-Communications System Open

Gaurav Duggal, Shelly Vishwakarma, Kumar Vijay Mishra, Shobha Sundar Ram · 2020

We present an ultra-short range IEEE 802.11ad-based automotive joint radar-communications (JRC) framework, wherein we improve the radar's Doppler resilience by incorporating Prouhet-Thue-Morse sequences in the preamble. The proposed proces…

Mitigation of Through-Wall Distortions of Frontal Radar Images Using Denoising Autoencoders Open

Shelly Vishwakarma, Shobha Sundar Ram · 2020

Radar images of humans and other concealed objects are considerably distorted by attenuation, refraction and multipath clutter in indoor through-wall environments. While several methods have been proposed for removing target independent st…

Radar cross‐sections of pedestrians at automotive radar frequencies using ray tracing and point scatterer modelling Open

Yoshana Deep, Patrick Held, Shobha Sundar Ram, Dagmar Steinhauser, A. Gupta , et al. · 2020

Simulation of radar cross‐sections of pedestrians at automotive radar frequencies forms a key tool for software verification test beds for advanced driver assistance systems. Two commonly used simulation methods are the computationally sim…

LEVERAGING EMI SIGNALS FOR APPLIANCE DETECTION AND ENERGY HARVESTING Open

Manoj Gulati, Shobha Sundar Ram, Amarjeet Singh · 2020

Polarimetric Radar Cross-Sections of Pedestrians at Automotive Radar Frequencies Open

Yoshana Deep, Patrick Held, Shobha Sundar Ram, Dagmar Steinhauser, A. Gupta , et al. · 2019

Simulation of radar cross-sections (RCS) of pedestrians at automotive radar frequencies forms a key tool for software verification test beds for advanced driver assistance systems. Two commonly used simulation methods are: the computationa…

Mitigation of Through-Wall Distortions of Frontal Radar Images using Denoising Autoencoders Open

Shelly Vishwakarma, Shobha Sundar Ram · 2019

Radar images of humans and other concealed objects are considerably distorted by attenuation, refraction and multipath clutter in indoor through-wall environments. While several methods have been proposed for removing target independent st…

Doppler-Resilient 802.11ad-Based Ultra-Short Range Automotive Joint\n Radar-Communications System Open

Gaurav Duggal, Shelly Vishwakarma, Kumar Vijay Mishra, Shobha Sundar Ram · 2019

We present an ultra-short range IEEE 802.11ad-based automotive joint\nradar-communications (JRC) framework, wherein we improve the radar's Doppler\nresilience by incorporating Prouhet-Thue-Morse sequences in the preamble. The\nproposed pro…

Representation of Radar Micro-Dopplers Using Customized Dictionaries Open

Shobha Sundar Ram · 2018

Human motions give rise to frequency modulations, known as micro-Dopplers, to continuous wave radar signals. Micro-Doppler signals have been extensively researched for the classification of different types of human motions as well as to di…

Dictionary Learning With Low Computational Complexity for Classification of Human Micro-Dopplers Across Multiple Carrier Frequencies Open

Shelly Vishwakarma, Shobha Sundar Ram · 2018

Recently, several machine learning algorithms have been applied for classifying micro-Doppler signatures from different human motions. However, these algorithms must demonstrate versatility in handling diversity in test and training data t…

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