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Jai Mangal

Publications and source records attributed to Jai Mangal.

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Adaptive High-Speed Radar Signal Processing Architecture for 3D Localization of Multiple Targets on System on Chip

Integrated Sensing and Communication (ISAC) is a key enabler of high speed, ultra low latency vehicular communication in 6G. ISAC leverages radar signal processing (RSP) to localize multiple unknown targets amid static clutter by jointly estimating range, azimuth, and Doppler velocity (3D), thereby enabling highly directional beamforming toward intended mobile users. However, the speed and accuracy of RSP significantly impact communication throughput. This work proposes a novel 3D reconfigurable RSP accelerator, implemented on a Zynq Multi processor System on Chip (MPSoC) using a hardware software codesign approach and fixed point optimization. We propose two RSP frameworks: (1) high accuracy and high complexity, and (2) low complexity and low accuracy, along with their respective architectures. Then, we develop an adaptive architecture that dynamically switches between these two frameworks based on the signal to clutter plus noise ratio. This adaptive reconfiguration achieves up to 5.6 times faster RSP compared to state of the art designs. At the system level, the proposed RSP based ISAC delivers a 24% improvement in communication throughput without increasing hardware complexity.

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Demo: An RFSoC-Based Testbed for Over-the-Air Wireless Transceiver at Millimeter Wave Frequency

The millimeter wave (mmW) frequency spectrum has been explored recently for large bandwidth communication. At these frequencies, narrow directional beams are required for communication since the signal attenuation is high due to atmospheric absorption. This work presents an AMD RFSoC and Sivers Semiconductors analog front-end based hardware testbed capable of directional communication via analog beamforming at mmW. The proposed testbed comprises orthogonal frequency division multiplexing (OFDM) based baseband physical layer and digital front-end on an ARM processor and field programmable gate array (FPGA), respectively, integrated with high-speed data converters of the RFSoC. The RFSoC output at sub-6GHz is integrated with a mmW multi-antenna analog-front end for over- the-air communication at 29.8 GHz. We demonstrate end-to-end communication over the air and present bit error rate (BER) analysis in the presence of radio frequency impairments and beam misalignments in real radio channels.

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Millimeter Wave Frontend for Integrated Sensing and Communication System Transceiver on Edge

IEEE 802.11ad standard uses analog beamforming for high-speed directional communication with mobile user (MU) in the millimeter wave (mmWave) spectrum. However, the lengthy beam alignment procedures involving large data packets between the base station (BS) and the MU introduce considerable overhead, deteriorating the overall throughput. Prior works have proposed 802.11ad-based integrated sensing and communication (ISAC) BS transceivers to eliminate time-consuming beam alignment. Instead, the radar and communication functionalities use the same waveform, spectrum, and millimeter wave front end (MFE) with a common spatial field of view. The radar detects and localizes the MU, enabling the subsequent directional communication with the MU. This work proposes an end-to-end IEEE 802.11ad-based ISAC BS transceiver prototype, wherein the digital baseband hardware frontend on edge is integrated with a Simulink-based MFE. The proposed prototype facilitates a systematic link budget and detailed performance analysis for different wireless channels, target motions, signal-to-noise ratios, hardware configurations, and impairments. We also investigate how these impairments affect radar performance and, in turn, the communication metrics since the performances of both systems are uniquely interrelated in an ISAC system. Our results show that even with hardware impairments, the 802.11ad-based ISAC offers 34% higher throughput than the standard with an ideal MFE.

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Radar Enabled Adaptive Modulation for Millimeter Wave Integrated Sensing and Communication

An integrated sensing and communication (ISAC) framework comprises radar sensing to enable reliable direction beam-based communication between a base station (BS) and mobile user (MU). The ISAC will be an integral part of 6G with potential applications for high-speed vehicular communications. Existing works have explored azimuth and Doppler velocity estimated via radar sensing for beam identification and identification in dynamic environments. In this work, we propose radar-enabled modulation scheme selection for ISAC, thereby eliminating conventional time-consuming downlink-uplink feedback-based modulation scheme selection. We have analyzed the performance of the proposed approach for four different trajectories and shown an improvement in throughput between 54-209% over state-of-the-art ISAC.

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A Novel Octal Annular Ring-Shaped Planar Monopole Antenna For WiFi And Unlicensed Ultra Wideband Frequency Range Applications

Our paper presents the design of a unique annular ring-shaped planar monopole antenna with octal geometry intended for a broad spectrum of frequency applications. Utilizing FR4 epoxy for the substrate and copper material for the top patch, the antenna measures 39 mm $\times$ 30 mm $\times$ 1.6 mm. It exhibits resonance at 6.8 GHz, with a return loss of -49.01 dB. The antenna demonstrates a broad frequency range from 2.1 GHz - 13.1 GHz, resulting in an overall -10 dB bandwidth of 11 GHz. At the resonating frequency of 6.8 GHz, the antenna accomplished a total gain of 3.01 dBi and a peak gain of 5.87 dBi at 12.4 GHz. Additionally, it attains a high radiation efficiency of 95.26\%. The annular patch of the antenna helps distribute the current uniformly at the boundaries of the patch. This helps achieve better current distribution and wider -10 dB bandwidth. This antenna is a versatile replacement for multiple antennas catering to various frequency bands.

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