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- research-articleApril 2024
Time-range FDA beampattern characteristics
AbstractCurrent literature show that frequency diverse arrays (FDAs) are able of producing range–angle-dependent and time-variant transmit beampatterns, but the resulting time and range dependencies and their characteristics are still not well ...
Highlights- An accurate model of the FDA instantaneous transmit beampattern is formulated.
- The scan speed, scan volume, and initial mainlobe direction of the beam are detailed.
- The equivalent conditions for the FDA integral transmit ...
- rapid-communicationFebruary 2024
FDA antenna selection for localizing targets
AbstractIn this paper, we propose a joint transmit and receive antenna selection scheme for frequency diverse array (FDA) radar that aims at finding an optimal selection of employed FDA antennas, formed by minimizing the Cramér–Rao lower bound (CRLB) of ...
Highlights- The joint transmit and receive antenna selection scheme for frequency diverse array (FDA) radar is investigated.
- The antenna placement is formed by minimizing the Cramér–Rao lower bound (CRLB) of the target localization problem.
- An ...
- research-articleDecember 2023
Determining joint periodicities in multi-time data with sampling uncertainties
Highlights- We propose a method to estimate joint periodicities in multiple non- uniformly sampled data sets with uncertain sampling times.
In this work, we introduce a novel approach for determining a joint sparse spectrum from several non-uniformly sampled data sets, where each data set is assumed to have its own, possibly disjoint, and only partially known, sampling ...
- research-articleNovember 2023
Super-resolution Direction of Arrival Estimation Using a Minimum Mean-Square Error Framework
Highlights- Computationally efficient super-resolution DOA estimator.
- Dictionary learning ...
This paper develops a novel sparse direction-of-arrival (DOA) estimation technique that avoids the common requirement of hyperparameters, which are typically difficult to set suitably in practice. Using the presented minimum mean-...
- research-articleMarch 2023
Waveform optimization with SINR criteria for FDA radar in the presence of signal-dependent mainlobe interference
Highlights- The design of the transmit waveforms of an FDA in order to improve the output SINR is investigated.
In this paper, we focus on the design of the transmit waveforms of a frequency diverse array (FDA) in order to improve the output signal-to-interference-plus-noise ratio (SINR) in the presence of signal-dependent mainlobe interference. ...
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- review-articleJanuary 2023
Optimal sensor placement for localizing structured signal sources
AbstractThis work is concerned with determining optimal sensor placements that allow for an accurate location estimate of structured signal sources, taking into account the expected location areas and the typical range of the parameters ...
- research-articleMarch 2022
High-resolution source localization exploiting the sparsity of the beamforming map
AbstractBeamforming technology plays a significant role in source localization and quantification. As traditional delay-and-sum beamformers generally yield low spatial resolution, as well as suffer from the occurrence of spurious sources, ...
- research-articleSeptember 2018
Designing sampling schemes for multi-dimensional data
Highlights- We present a unified framework for incorporating strong prior knowledge when designing sampling schemes.
In this work, we propose a method for determining a non-uniform sampling scheme for multi-dimensional signals by solving a convex optimization problem reminiscent of the sensor selection problem. The resulting sampling scheme minimizes ...
- research-articleOctober 2017
Group-sparse regression using the covariance fitting criterion
Signal Processing (SIGN), Volume 139, Issue CPages 116–130https://doi.org/10.1016/j.sigpro.2017.03.025A generalization of the covariance fitting criteria, for grouped variables, is presented.An hyperparameter-free analogue to the SPICE method is proposed for grouped variables, termed group-SPICE.The connection between group-SPICE and the group-LASSO (...
- research-articleJanuary 2017
Sparse modeling of chroma features
Signal Processing (SIGN), Volume 130, Issue CPages 105–117https://doi.org/10.1016/j.sigpro.2016.06.020This work treats the estimation of chroma features for harmonic audio signals using a sparse reconstruction framework. Chroma has been used for decades as a key tool in audio analysis, and is typically formed using a periodogram-based approach that maps ...
- research-articleNovember 2016
High resolution sparse estimation of exponentially decaying N-dimensional signals
Signal Processing (SIGN), Volume 128, Issue CPages 309–317https://doi.org/10.1016/j.sigpro.2016.04.002In this work, we consider the problem of high-resolution estimation of the parameters detailing an N-dimensional (N-D) signal consisting of an unknown number of exponentially decaying sinusoidal components. Since such signals are not sparse in an ...
- research-articleOctober 2016
An adaptive penalty multi-pitch estimator with self-regularization
Signal Processing (SIGN), Volume 127, Issue CPages 56–70https://doi.org/10.1016/j.sigpro.2016.02.015This work treats multi-pitch estimation, and in particular the common misclassification issue wherein the pitch at half the true fundamental frequency, the sub-octave, is chosen instead of the true pitch. Extending on current group LASSO-based methods ...
- research-articleApril 2015
Multi-pitch estimation exploiting block sparsity
Signal Processing (SIGN), Volume 109, Issue CPages 236–247https://doi.org/10.1016/j.sigpro.2014.10.014We study the problem of estimating the fundamental frequencies of a signal containing multiple harmonically related sinusoidal components using a novel block sparse signal representation. An efficient algorithm for solving the resulting optimization ...
- articleFebruary 2014
SAR imaging via efficient implementations of sparse ML approaches
High-resolution spectral estimation techniques are of notable interest for synthetic aperture radar (SAR) imaging. Several sparse estimation techniques have been shown to provide significant performance gains as compared to conventional approaches. We ...
- research-articleMay 2013
Computationally efficient sparsity-inducing coherence spectrum estimation of complete and non-complete data sets
Signal Processing (SIGN), Volume 93, Issue 5Pages 1221–1234https://doi.org/10.1016/j.sigpro.2012.12.003The magnitude squared coherence (MSC) spectrum is an often used frequency-dependent measure for the linear dependency between two stationary processes, and the recent literature contain several contributions on how to form high-resolution data-dependent ...
- research-articleMay 2011
Blood velocity estimation using ultrasound and spectral iterative adaptive approaches
Signal Processing (SIGN), Volume 91, Issue 5Pages 1275–1283https://doi.org/10.1016/j.sigpro.2010.12.014This paper proposes two novel iterative data-adaptive spectral estimation techniques for blood velocity estimation using medical ultrasound scanners. The techniques make no assumption on the sampling pattern of the emissions or the depth samples, ...
- articleApril 2008
Multi-pitch estimation
Signal Processing (SIGN), Volume 88, Issue 4Pages 972–983https://doi.org/10.1016/j.sigpro.2007.10.014In this paper, we formulate the multi-pitch estimation problem and propose a number of methods to estimate the set of fundamental frequencies. The proposed methods, based on the nonlinear least-squares (NLS), MUltiple SIgnal Classification (MUSIC) and ...
- articleApril 2008
Frequency-selective robust detection and estimation of polymorphic QR signals
Signal Processing (SIGN), Volume 88, Issue 4Pages 834–843https://doi.org/10.1016/j.sigpro.2007.09.021Nuclear quadrupole resonance (NQR) is a non-invasive, solid state, radio frequency (RF) technique, able to distinguish between polymorphic forms of certain compounds. Exploiting the signals from multiple polymorphs is important in explosives detection, ...
- articleJanuary 2008
Analysis of nuclear quadrupole resonance signals from mixtures
Signal Processing (SIGN), Volume 88, Issue 1Pages 146–157https://doi.org/10.1016/j.sigpro.2007.07.009Nuclear quadrupole resonance (NQR) is a solid-state radio frequency (RF) technique, able to detect and identify compounds containing quadrupolar nuclei, including many high explosives, narcotics and pharmaceutical compounds. In addition to being able to ...
- articleApril 2006
On the forward-backward spatial APES
Signal Processing (SIGN), Volume 86, Issue 4Pages 710–715https://doi.org/10.1016/j.sigpro.2005.06.002In this fast communication, we examine non-parametric data-adaptive spatial spectrum estimation using an array of sensors. We derive a forward-backward (FB) version of the recent spatial APES (SAPES) beamformer, and show that the SAPES algorithm is ...