Results 251 to 260 of about 6,915,535 (291)
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A Rao Test With Enhanced Selectivity Properties in Homogeneous Scenarios
IEEE Transactions on Signal Processing, 2010This correspondence focuses on the design of a selective receiver for homogeneous scenarios. To this end, at the design stage it is assumed that the cell under test contains a noise-like interferer in addition to thermal noise, clutter, and to the possible signal of interest; a set of secondary data, free of signal components, is available: such data ...
D. Orlando, RICCI, Giuseppe
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RAO: a low-cost AUV for testing
OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158), 2002We present an autonomous underwater vehicle (AUV) designed and assembled at the University of the Balearic Islands. This vehicle has been conceived to be a testing bench for the development of hardware and software related with underwater robotics.
G. Oliver +4 more
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On the Invariance, Coincidence, and Statistical Equivalence of the GLRT, Rao Test, and Wald Test
IEEE Transactions on Signal Processing, 2010Three common techniques to discriminate between alternatives in a binary hypothesis testing problem are: the generalized likelihood ratio test (GLRT), the Rao test, and the Wald test. In this paper, we investigate some characteristics of the corresponding decision statistics and provide their expressions for some problems of particular interest in ...
DE MAIO, ANTONIO, S. M. Kay, A. Farina
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Modified Rao Test for Multichannel Adaptive Signal Detection
IEEE Transactions on Signal Processing, 2016The problem of detecting a subspace signal is studied in colored Gaussian noise with an unknown covariance matrix. In the subspace model, the target signal belongs to a known subspace, but with unknown coordinates. We first present a new derivation of the Rao test based on the subspace model, and then propose a modified Rao test (MRT) by introducing a ...
Jun Liu 0004 +5 more
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Rao tests for distributed target detection in interference and noise
Signal Processing, 2015This paper deals with the problem of detecting a distributed target in interference and noise. The target signal and interference are assumed to lie in two linearly independent subspaces, and their coordinates are unknown. The noise is Gaussian distributed, with an unknown covariance matrix.
Weijian Liu 0001 +4 more
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Bayesian Rao and Wald test for radar adaptive detection
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010This paper deals with the adaptive detection of a signal of interest in the presence of Gaussian noise with unknown covariance matrix (CM). To this end, we resort to a Bayesian approach based on a suitable model for the probability density function (PDF) of unknown CM.
Yu Zhou 0017, Lin-rang Zhang
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Persymmetric Rao test for MIMO radar in Gaussian disturbance
Signal Processing, 2019Abstract This paper considers the target detection problem in multiple-input multiple-output radar where the disturbance covariance matrix is unknown. Based on the Rao criterion, a persymmetric Rao test is designed by exploiting the persymmetric structure of the disturbance covariance matrix.
Jun Liu 0004 +4 more
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Rao Test With Improved Robustness for Range-Spread Target Detection
2020 28th European Signal Processing Conference (EUSIPCO), 2021This paper deals with the problem of detecting range-spread targets in Gaussian noise with unknown covariance matrix. We model the received signal under the signal-plus-noise hypothesis as the sum of noise, useful target echoes and fictitious signals, which makes the signal-plus-noise hypothesis more plausible in the mismatched case.
Shengyin Sun +2 more
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On improving the robustness and reliability of Rao's score test
Journal of Statistical Planning and Inference, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Godfrey, Leslie G., Orme, C. D.
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A new two-stage rao test detector
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010In this paper, we propose a new two-stage Rao test detector, which is obtained by cascading a subspace detector (SD) and the Rao test. A set of secondary data is available and noise returns in primary and secondary data share the same statistical characterization.
Chengpeng Hao +3 more
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