On Probing Signal Design For MIMO Radar

By P. Stoica, Jian Li, Yao Xie. IEEE Transactions on Signal Processing, 2006

1,055 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b072a73beb1d625c6b8220f01f74976ce216c6df

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Citations in the corpus

MIMO Radar Waveform Optimization With Prior Information of the Extended Target and Clutter (2009, background): “However, in [ 7 ], the cross correlation between the transmitted signals at a number of given target locations is minimized.”
Optimal Transmit Beamforming for Integrated Sensing and Communication (2021, positive): “2We focus on the transmit beampattern design, as the proper design can result in enhanced sensing performance (in terms of detection, sensing, or recognization) via proper echo wave processing [51].”
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar (2019, methodology): “To this aim, we use the loss function proposed in [50], [54] to evaluate the radar performance, which is the weighted sum of two parts: beam pattern error and cross correlation.”
A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions (2010, background): “If we assume that noise is Gaussian distributed and source signal s(n) is deterministic and known to the receiver, which is the case for radar signal processing [32, 33, 58], it is easy to show that the LRT in this case becomes the matched filtering-based detector, for which the test statistic is”
Target Sensing With Intelligent Reflecting Surface: Architecture and Performance (2022, neutral): “Although it is difﬁcult to characterize the DOA estimation MSE of the MUSIC algorithm, it has been shown in [43] that the MSE tends to decrease with the increase of the average received signal power at the sensors.”
Designing Unimodular Sequence Sets With Good Correlations—Including an Application to MIMO Radar (2009, background): “In [11] and [ 12 ] the covariance matrix of the transmitted waveforms is optimized to achieve a given transmit beampattern, while in [13] the waveforms are designed directly to approximate a given covariance matrix.”
MIMO Radar with Colocated Antennas (2007, background): “In [1]–[3], for example, the diversity offered by widely separated transmit/receive antenna elements is exploited.”
Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (2019, methodology): “Following the standard assumptions in the literature [58], [98], [103], the signal model in (1) is assumed to be obtained in a particular range-Doppler bin of interest, for which the range and the Doppler parameters are omitted in the model.”
Signal Covariance Matrix Optimization for Transmit Beamforming in MIMO Radars (2007, methodology): “In essence, the beampattern is optimized to the shape of the desired beampattern; there is no need to optimize the scale as was done in [7].”
Signal Synthesis and Receiver Design for MIMO Radar Imaging (2008, background): “…in adjacent range bins need different propagation times to reach the radar receiver (see below for more details on ), and is an interference-plus-noise matrix whose columns are assumed to be independent and identically distributed (i.i.d.) random vectors with mean zero and covariance matrix .”
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study (2007, background): “Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the United States Government.”
Target Localization Accuracy Gain in MIMO Radar-Based Systems (2008, background): “In [7], [14], and [20], the signal vector transmitted by a MIMO radar system is designed to minimize the cross-correlation of the signals bounced from various targets to improve the parameter estimation accuracy in multiple target schemes.”
MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission (2017, methodology): “Aiming for generating a beampattern with a desired 3dB main-beam width, another optimization problem has been proposed by Stoica et al. [32], which is given by where θ 0 is the location of the main-beam, ( θ 2 − θ 1 ) determines the 3dB main-beam width, and Ω denotes the sidelobe region.”