Braham Himed

ORCID: 0000-0003-0053-6270
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About
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Research Areas
  • Radar Systems and Signal Processing
  • Advanced SAR Imaging Techniques
  • Direction-of-Arrival Estimation Techniques
  • Microwave Imaging and Scattering Analysis
  • Target Tracking and Data Fusion in Sensor Networks
  • Distributed Sensor Networks and Detection Algorithms
  • Antenna Design and Optimization
  • Radio Wave Propagation Studies
  • Sparse and Compressive Sensing Techniques
  • Ocean Waves and Remote Sensing
  • Underwater Acoustics Research
  • Cognitive Radio Networks and Spectrum Sensing
  • Indoor and Outdoor Localization Technologies
  • Speech and Audio Processing
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Blind Source Separation Techniques
  • Wireless Signal Modulation Classification
  • Geophysical Methods and Applications
  • GNSS positioning and interference
  • Precipitation Measurement and Analysis
  • Antenna Design and Analysis
  • Wireless Communication Networks Research
  • Image and Signal Denoising Methods
  • Economic and Technological Developments in Russia
  • Advanced Electrical Measurement Techniques

United States Air Force Research Laboratory
2015-2024

Wright-Patterson Air Force Base
2013-2024

Institute of Navigation
2023

Applied Radar (United States)
2023

Lockheed Martin (Canada)
2022

Radar (United States)
2014-2022

Syracuse University
2002-2019

Institute of Electrical and Electronics Engineers
2019

Gorgias Press (United States)
2019

Signal Processing (United States)
2019

To get the most use out of scarce spectrum, technologies have emerged that permit single systems to accommodate both radar and communications functions. Dual-function communication (DFRC) systems, where two same platform share hardware spectral resources, form a specific class radio-frequency (RF) technology. These support applications data, whether as target waveform parameter information or independent operation, are efficiently transmitted using aperture frequency bandwidth. This is...

10.1109/msp.2019.2900571 article EN IEEE Signal Processing Magazine 2019-09-01

In this paper, we propose co-prime arrays for effective direction-of-arrival (DOA) estimation. To fully utilize the virtual aperture achieved in difference co-array constructed from a array structure, sparsity-based spatial spectrum estimation technique is exploited. Compared to existing techniques, proposed achieves better utilization of and thus results increased degrees-of-freedom as well improved DOA performance.

10.1109/icassp.2013.6638403 article EN IEEE International Conference on Acoustics Speech and Signal Processing 2013-05-01

The theoretical feasibility is explored of spectrum-sharing between radar and wireless communications systems via an interference mitigation processing approach. new approach allows to operate at the same carrier frequency if possesses a multiple-input multiple-output (MIMO) structure. A novel signal developed for coherent MIMO that effectively minimizes arbitrary interferences generated by from any direction, while operating using cognitive radio technology. Various aspects are...

10.1109/taes.2013.6558027 article EN IEEE Transactions on Aerospace and Electronic Systems 2013-07-01

The parametric adaptive matched filter (PAMF) for space-time processing (STAP) is introduced via the (MF), multichannel linear prediction, and LDU decomposition. Two alternative algorithmic implementations of PAMF are discussed. Issues considered include sample training data size constant false alarm rate (CFAR). Detection test statistics estimated airborne phased array radar measurements, probability detection using simulated surveillance scenarios. For large sizes, performs close to MF;...

10.1109/7.845259 article EN IEEE Transactions on Aerospace and Electronic Systems 2000-04-01

This paper addresses target detection in passive multiple-input multiple-output (MIMO) radar networks comprised of non-cooperative transmitters and multichannel receivers. A generalized likelihood ratio test is derived, approximate statistic distributions are presented for both hypotheses under common scenario conditions. Analysis simulation results show that this detector outperforms other MIMO detectors because it exploits more correlations within the measurement data. also compared...

10.1109/tsp.2014.2319776 article EN IEEE Transactions on Signal Processing 2014-04-22

In this paper, we consider moving target detection using a distributed multiple-input multiple-output (MIMO) radar on stationary platforms in nonhomogeneous clutter environments. Our study is motivated by the fact that multistatic transmit-receive configuration MIMO causes nonstationary clutter. Specifically, power for same test cell may vary significantly from one pair to another, due azimuth-selective backscattering of To account these issues, new model, where resides low-rank subspace...

10.1109/tsp.2011.2160861 article EN IEEE Transactions on Signal Processing 2011-06-29

In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends standard (CPF) to handle cases involving low signal-to-noise ratio (SNR) multi-component LFM asymptotic mean squared error (MSE) ICPF-based estimator as well output SNR detector are derived in closed form verified by computer simulation. Comparison with several existing approaches also included, which shows that serves a good...

10.1109/taes.2010.5545167 article EN IEEE Transactions on Aerospace and Electronic Systems 2010-07-01

We present a transmit subaperturing (TS) approach for MIMO radars. A TS-MIMO radar offers continuum of operating modes from the phased-array radar, which achieves maximum directional gain but least interference rejection ability, to omni-directional transmission based can handle largest number sources no gain. Tuning system be made by changing configuration subapertures, provides direct trade-off between and power. The output SINR is examined in an training limited environment.

10.1109/jstsp.2009.2038967 article EN IEEE Journal of Selected Topics in Signal Processing 2010-01-22

An effective complex multitask Bayesian compressive sensing (CMT-BCS) algorithm is proposed to recover sparse or group signals. The existing (MT-CS) powerful in recovering multiple real-valued solutions. However, a large class of problems deal with values. A simple approach, which decomposes value into independent real and imaginary components, does not take account the sparsity these two components thus yields poor recovery performance. In this paper, we first introduce CMT-BCS that jointly...

10.1109/icassp.2014.6854226 article EN 2014-05-01

This work addresses the problem of target detection in passive multiple-input multiple-output (MIMO) radar networks without utilization direct-path reference signals. A generalized likelihood ratio test for this is derived, and distribution statistic identified under both hypotheses. Equivalence established between MIMO references source localization networks. Numerical examples demonstrate important characteristics detector, namely, asymmetric contributions to performance from transmitters...

10.1109/tsp.2014.2320462 article EN IEEE Transactions on Signal Processing 2014-04-24

This paper considers moving target detection (MTD) with distributed multi-input multi-output (MIMO) radars in non-homogeneous environments, where the received disturbance signal (clutter and noise) exhibits non-homogeneity not only power but also covariance structure from one transmit-receive (TX-RX) antenna pair to another as well across different test cells. To address this problem, we introduce a parametric approach by employing set of distinctive auto-regressive (AR) models, for each...

10.1109/tsp.2013.2245323 article EN IEEE Transactions on Signal Processing 2013-02-05

The dual use of radio signals for simultaneous operation radar and communications has recently attracted significant interest. In this paper, we develop a method information embedding into the emission multiple-input multiple-output (MIMO) using frequency-hopping (FH) waveforms. set orthogonal waveforms used to implement primary MIMO is generated FH codes. secondary communication function implemented by one phase-shift keying (PSK) symbol in each frequency hop, i.e., number embedded symbols...

10.1109/radar.2017.7944485 article EN 2022 IEEE Radar Conference (RadarConf22) 2017-05-01

This paper considers the problem of passive detection with a multistatic radar system involving noncooperative illuminator opportunity (IO) and multiple receive platforms. An unknown source signal is transmitted by IO, which illuminates target interest. These platforms are geographically dispersed, collect independent echoes due to illumination same IO. We consider generalized canonical correlation (GCC) detector for requires knowledge noise power. derive closed-form expressions...

10.1109/tsp.2014.2359637 article EN IEEE Transactions on Signal Processing 2014-09-19

We jointly design the transmit and receive beamforming based on a-priori information locations of target interferences in an active array, where each element emits same waveform up to a complex scalar. A sequential optimization algorithm is proposed maximize output signal-to-interference-plus-noise ratio (SINR). Numerical results demonstrate that significant gain SINR can be achieve this compared conventional phased-array radar omnidirectional multiple-input-multiple-output (MIMO) radar.

10.1109/lsp.2013.2289325 article EN IEEE Signal Processing Letters 2013-11-19

Since the seminal paper by Marzetta from 2010, Massive MIMO paradigm in communication systems has changed being a theoretical scaled-up version of MIMO, with an infinite number antennas, to practical technology. Its key concepts have been adopted 5G new radio standard and base stations, where 64 fully-digital transceivers commercially deployed. Motivated these recent developments, this considers co-located radar M <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/tsp.2020.2967181 article EN IEEE Transactions on Signal Processing 2020-01-01

We study issues associated with applying space-time adaptive processing (STAP) techniques in bistatic airborne applications. consider the performance of several STAP approaches different scenarios. Specific consideration is given to effects clutter spectral dispersion on covariance estimation and algorithm's resulting rejection capability. Our prime focus emphasizes methods capable high efficient utilization training data. A deterministic two-dimensional compensation used align centers thus...

10.1109/nrc.2002.999737 article EN 2003-06-25

The key to the feasibility of spectrum sharing between radar and wireless systems is effective mainlobe interference mitigation processing by radar. Traditional array capable cancel sidelobe interferences only. This letter presents an innovative beamforming approach, first its kind, eliminate in both directions based on a coherent phase-coding multiple-input multiple-output (MIMO) platform. theoretical proof conditions simultaneous cancellation target detection using MIMO are mathematically...

10.1109/lsp.2014.2363585 article EN IEEE Signal Processing Letters 2014-10-22

We consider the problem of joint delay-Doppler estimation a moving target in passive radar that employs non-cooperative illuminator opportunity (IO) for illumination, reference channel (RC) steered to IO obtain signal, and surveillance (SC) monitoring. practically motivated scenario, where RC receives noise-contaminated copy signal SC observation is polluted by direct-path interference usually neglected prior studies. develop data model without discretizing parameter space, which may lead...

10.1109/tsp.2015.2488584 article EN IEEE Transactions on Signal Processing 2015-10-08

This paper examines moving target detection in distributed multi-input multi-output radar with sensors placed on platforms. Unlike previous works which were focused stationary platforms, we consider explicitly the effects of platform motion, exacerbate location-induced clutter non-homogeneity inherent such systems and thus make problem significantly more challenging. Two new detectors are proposed. The first is a sparsity based detector which, by exploiting sparse representation Doppler...

10.1109/jstsp.2015.2467355 article EN IEEE Journal of Selected Topics in Signal Processing 2015-08-13

This paper deals with the problem of detecting a moving range-spread target in distributed MIMO radar. A new knowledge-aided (KA) model that takes into account nonhomogenous characteristics disturbance (clutter and noise) radar is proposed. Specifically, covariance matrices corresponding to different transmit-receive (Tx-Rx) pairs are modeled as random matrices. These share prior matrix structure but power levels nonhomogeneous clutter powers across Tx-Rx pairs. Two cases considered,...

10.1109/tsp.2016.2625266 article EN IEEE Transactions on Signal Processing 2016-11-04

Although radar and communication systems so far have been considered separately, recent advances in passive motivated us to propose a unified system, capable of fulfilling the requirements both communications. In this paper, we provide performance tradeoff analysis for system consisting transmitter, receiver, receiver (CR). The total power is allocated transmitting waveforms information signals such way that probability detection (PD) maximized, while satisfying rate requirement CR. An exact...

10.1109/lsp.2017.2721639 article EN IEEE Signal Processing Letters 2017-06-29

A non-repeating, spectrum-optimized FM waveform suitable for radar pulse agility is described. The an alternative manifestation of the recently developed pseudo-random optimized (PRO) FMCW framework noise radar, now implemented in a pulsed form. Each iteratively to match spectrum shape with low range sidelobes and good spectral properties, while random initialization each ensures sufficient diversity that resulting form unique, thereby providing decoherence sidelobes. performance this...

10.1109/radar.2016.7485298 article EN 2022 IEEE Radar Conference (RadarConf22) 2016-05-01
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