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Jeffrey L. Krolik

Professor of Electrical and Computer Engineering
Pierre R. Lamond Department of Electrical and Computer Engineering
Box 90291, Durham, NC 27708-0291
3465 CIEMAS, Durham, NC 27708

Scholarly Works - Conferences


Cyclostationary Analysis of Micro-Doppler Signature for ISAR Ship Classification

Conference Proceedings of the IEEE Radar Conference · January 1, 2025 This paper presents an approach to inverse synthetic aperture radar (ISAR) ship classification by exploiting the cyclostationary properties of micro-Doppler (m-D) signatures from rotating shipborne components. Unlike traditional methods that attempt to eli ... Full text Cite

Doppler Adaptive Suppression of Interference in Moving Target Indicator Radar

Conference Proceedings of the IEEE Radar Conference · January 1, 2025 This paper presents temporal processing for removal of RF interference in pulse-Doppler radar. With spectrumsharing between radar and communications users becoming more common, unintentional spectral overlap of RF sources becomes unavoidable. Approaches fo ... Full text Cite

HF Array Calibration Using Lightning Sources

Conference Proceedings of the IEEE Radar Conference · January 1, 2025 This paper explores an approach for exploiting lightning sources to calibrate HF receive arrays to correct for both gain and phase errors as well as mutual coupling among elements. Conventional HF array calibration often either ignores mutual coupling effe ... Full text Cite

Passive HF Noise Interferometry for Sea Surface Estimation

Conference Conference Record Asilomar Conference on Signals Systems and Computers · January 1, 2025 This paper investigates the use of passive high-frequency (HF) noise interferometry for sea surface roughness estimation and Bragg-line detection using ambient noise sources of opportunity. We model the sea-surface backscatter channel as a slowly time-vary ... Full text Cite

Sample-Starved Wavefront Adaptive Sensing and GLRT for MTI Radar

Conference Proceedings of the IEEE Radar Conference · January 1, 2024 Moving target indicator (MTI) radars can suffer signal-to-noise ratio (SNR) losses due to: 1) the use of heavy non-adaptive tapers, and/or 2) poor estimation of space-time adaptive weight vectors. For ground-based radars, non-adaptive temporal and spatial ... Full text Cite

Wideband Adaptive Beamforming for a Partially-Calibrated Distributed Array

Conference 2024 IEEE International Conference on Acoustics Speech and Signal Processing Workshops Icasspw 2024 Proceedings · January 1, 2024 This paper introduces two novel array processing techniques to enable wideband beamforming on sparse arrays without calibrating the full array. First, we develop a new wideband focusing method using parameterized unitary transformations to minimize the ran ... Full text Cite

Experimental Millimeter Wave ISAR Imaging of Unmanned Aerial Systems

Conference Conference Record Asilomar Conference on Signals Systems and Computers · January 1, 2024 Detection and classification of unmanned aerial systems (UASs) among a plethora of other low, slow, small moving objects remains an ongoing challenge. In this paper, we apply inverse synthetic aperture radar (ISAR) techniques to image small UASs using a lo ... Full text Cite

Multi-User Methods for Vibrational Radar Backscatter Communications

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 2023 In this paper, we compare the performance between two multi-user processing methods in vibrational radar backscatter communications (VRBC). VRBC is a low-latency, scalable communications solution that uses millimeter-wave radars as vibrometers while also a ... Full text Cite

Wavefront Adaptive Sensing Beamformer for Shallow-Water Broadband Interference Mitigation

Conference 2023 IEEE 9th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2023 · January 1, 2023 This paper addresses robust adaptive beamforming for passive sonar in shallow-water environments. In these complex multipath environments, adaptive beamformers typically suffer from signal self-cancellation. Existing approaches to robust adaptive beamformi ... Full text Cite

A Vibrational Radar Backscatter Communication Experimental Testbed

Conference Conference Record Asilomar Conference on Signals Systems and Computers · January 1, 2023 This paper describes a vibrational radar backscat-ter communication (VRBC) experimental testbed for studying VRBC processing methods and performance. VRBC is a wire-less communication approach that uses a mmW radar as a vibrometer to observe messages encod ... Full text Cite

A Classification-Aided Recurrent Neural Network for Tracking in Urban Terrain

Conference Proceedings of the IEEE Radar Conference · January 1, 2022 This paper addresses the challenge of tracking small unmanned aerial systems in urban terrain. Tracking is made up of two parts, state estimation and data association. For low, slow, small targets in the presence of other non-Target movers with similar dyn ... Full text Cite

Vibrational Radar Backscatter Communication using Resonant Transponding Surfaces

Conference Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop · January 1, 2022 Vibrational radar backscatter communication (VRBC) performs millimeter-wave radar vibrometry to receive message signals from digitally modulated vibrating surfaces. For anything-to-vehicle communication, VRBC is a scalable, low-latency approach which lever ... Full text Cite

Sampling Rate Offset Estimation in Acoustic Sensor Networks

Conference IEEE Workshop on Statistical Signal Processing Proceedings · July 11, 2021 Acoustic sensor networks can achieve both a wide area coverage and coherent gain in a low-cost, scalable fashion. Their applications have been explored both in-air and underwater for robotic navigation, teleconferencing and target detection. While flexible ... Full text Cite

Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing

Conference 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems Aicas 2021 · June 6, 2021 Although neural networks, especially convolutional neural networks (CNNs), have been successfully applied to many domains, there have not found many radar applications mainly due to a paucity of available training data. Focusing on fixed-site radars, this ... Full text Cite

Vibrational Radar Backscatter Communications

Conference Conference Record Asilomar Conference on Signals Systems and Computers · January 1, 2021 In this paper, we introduce a novel approach for backscatter communications using mmW automotive radar illumination of a vibrating transducer whose time-varying surface displacement is used to perform digital signaling. Radar backscat- ter communications, ... Full text Cite

Adaptive Beamforming with a Partially Calibrated Distributed Array

Conference Conference Record Asilomar Conference on Signals Systems and Computers · January 1, 2021 Sensor arrays distributed over a large area can theoretically provide high resolution and coherent gain against diffuse noise, but are difficult to calibrate in practice. In many cases, however, some elements of the array may be well-calibrated while other ... Full text Cite

ESPRIT-based Calibration of Multiple Sonobuoys Using a Moving Source

Conference 2020 Global Oceans 2020 Singapore U S Gulf Coast · October 5, 2020 Distributed sonar arrays that are coherently processed offer high gain over diffuse noise and target resolution but with minimal hardware. The low-cost and ad-hoc nature of these arrays make them flexible and easy to scale but it also brings additional cal ... Full text Cite

Run-length limited codes for backscatter communication

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · June 16, 2017 In backscatter communications, ultra-low power devices signal by modulating the reflection of radio frequency signals emitted from an external source. Unlike conventional one-way communication, the backscatter channel experiences unique self-interference a ... Full text Cite

Synthetic aperture imaging with thinned linear sensor arrays for medical ultrasound

Conference Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop · September 15, 2016 In this paper, we exploit motion for improving the ultrasound (US) imaging performance of thinned sensor array systems. Thinned arrays provide reduced system cost and allows for the reduction of bulky channel cables. However, thinned array systems suffer f ... Full text Cite

Ocean acoustic waveguide invariant parameter estimation using tonal noise sources

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · August 4, 2015 The abundance of shipping noise sources in ocean littoral zones provides a great opportunity to estimate ocean environmental parameters. The waveguide invariant parameter β, defined as the ratio of inverse group and phase velocities between modes, has been ... Full text Cite

Multiple source localization with moving co-prime arrays

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · August 4, 2015 In this paper, we explore the use of temporal signal coherence to increase the degrees of freedom in a non-uniform under-sampled linear moving array. In particular, we develop bounds on the minimum Temporal-Coherence-Period (TCP) required to synthetically ... Full text Cite

Space-delay adaptive processing for MIMO RF indoor motion mapping

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · August 4, 2015 In this paper, space-delay adaptive processing (SDAP) is proposed for motion mapping using MIMO RF signals. Typically, indoor RF localization methods require ultra-wideband signals to achieve the time-delay resolution required for separation of returns in ... Full text Cite

Target tracking in uncertain Multipath Environment using distributed Angle-of-Arrival observation

Conference IEEE National Radar Conference Proceedings · June 22, 2015 This work considers the problem of target tracking in complex multipath environments using Angle-of-Arrival (AoA) observations produced by a multistatic passive radar array network. In the presence of uncertain multipath channel properties, Simultaneous Ta ... Full text Cite

CRLB performance for bistatic MIMO radar

Conference IEEE National Radar Conference Proceedings · June 22, 2015 This paper derives the Cramer-Rao Lower Bound (CRLB) on angular/Doppler frequency estimation and target localization using a bistatic multi-input multi-output (MIMO) radar system. The bistatic radar configuration provides flexible design on receiver and tr ... Full text Cite

Non-recurrent wideband continuous active sonar

Conference Oceans 2012 Mts IEEE Harnessing the Power of the Ocean · December 1, 2012 This paper presents a continuous active sonar (CAS) waveform which enables high revisit rates and wideband processing gains to be achieved with suppression of range-ambiguous returns. Non-recurrent wideband linear FM signals with circular Costas frequency- ... Full text Cite

Time-varying array shape estimation by mapping acoustic field directionality

Conference Oceans 2012 Mts IEEE Harnessing the Power of the Ocean · December 1, 2012 This paper introduces a towed-array shape estimation technique that exploits the directional structure of the time-varying acoustic field. Unlike conventional array shape estimation methods that use discrete sources of opportunity, the proposed approach do ... Full text Cite

Physics-based signal processing in the presence of environmental model uncertainties

Conference IEEE 2000 Adaptive Systems for Signal Processing Communications and Control Symposium as Spcc 2000 · January 1, 2000 Physics-based signal processing methods for radar and sonar utilize computational acoustic or electromagnetic models to improve target detection and localization. These techniques are motivated by the fact that using an accurate model of the full multipath ... Full text Cite

Estimating tropospheric refractivity parameters from radar sea clutter

Conference Proceedings of the IEEE Signal Processing Workshop on Higher Order Statistics Spw Hos 1999 · January 1, 1999 The capping inversion of the marine boundary layer is often associated with ducted microwave propagation which can significantly impact shipboard radars. This paper concerns the problem of characterizing ducted propagation by estimating parameters of the i ... Full text Cite

ESTIMATION OF AIRCRAFT ALTITUDE AND ALTITUDE RATE WITH OVER-THE-HORIZON RADAR

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 1999 In previous work, a matched-field estimate of aircraft altitude which uses multiple over-the-horizon radar dwells was presented. This approach exploited the altitude dependent structure of the micro-multipath rays which result from reflections local to the ... Full text Cite

A Cramer-Rao bound for source range estimation in a random ocean waveguide

Conference IEEE 7th SP Workshop on Statistical Signal and Array Processing Ssap 1994 Proceedings · January 1, 1994 Matched-field source localization methods which exploit complex acoustic multipath propagation models are particularly sensitive to errors in the assumed environmental parameters. In this paper, the Cramer-Rao Lower Bound on source range estimation perform ... Full text Cite

A multiple time scale minimum variance beamformer

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 1993 In this paper expressions for mean output power and mean squared error are derived for the multiple time scale minimum variance beamformer in terms of adaptive degrees of freedom (DOF) and adaptation time scale when the same input data block is used to upd ... Full text Cite

The application of Laguerre partial series expansions for broadband array processing

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 1992 A new method of reducing the observation time threshold required to make high resolution broadband spatial spectral estimates is presented. Based on a Laguerre operator expansion of the measured array output a stochastic rational approximation of the recei ... Full text Cite