2016 8th International Conference on Wireless Communications &Amp; Signal Processing (WCSP) 2016
DOI: 10.1109/wcsp.2016.7752475
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MISL-based colocated MIMO radar waveform coefficients matrix design for beampattern matching

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Cited by 2 publications
(4 citation statements)
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“…Using a similar method, the Ref. [22] has formed desired beampatterns with lower sidelobe levels for generalized MIMO configurations.…”
Section: Introductionmentioning
confidence: 99%
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“…Using a similar method, the Ref. [22] has formed desired beampatterns with lower sidelobe levels for generalized MIMO configurations.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we consider a large planar array, and also design a weight matrix to connect the antennas and orthogonal waveforms as same as the approach in Refs. [21,22]. In addition, we propose a cyclic (or iterative) optimization algorithm based on Fast fourier transform (FFT) to obtain the weight matrix, which provides an opportunity for a large planar array to employ the MIMO technique.…”
Section: Introductionmentioning
confidence: 99%
“…However, with the increase of the number of antennas, the optimal transmitted waveforms or covariance matrix of the transmitted waveforms cannot be figured out immediately due to heavy computation. A more efficient approach was proposed to synthesize transmitted signals by designing a weight matrix given a set of orthogonal waveforms [9,10,11]. By optimizing the weight matrix, the paper [9] focused the transmitting energy within a certain spatial sector to improve the Signal-to-Noise Ratio (SNR) gain.…”
Section: Introductionmentioning
confidence: 99%
“…By optimizing the weight matrix, the paper [9] focused the transmitting energy within a certain spatial sector to improve the Signal-to-Noise Ratio (SNR) gain. Using a similar method, a study [10,11] formed the desired beam patterns with lower sidelobe levels for generalized MIMO configurations. Then, the waveform-design problem was converted into the optimization of the weight matrix with the assumption of complete orthogonal waveforms.…”
Section: Introductionmentioning
confidence: 99%