Glrt based
WebNov 8, 2010 · Shuai X, Kong L, Yang J: Performance analysis of GLRT-based adaptive detector for distributed targets in compound-Gaussian clutter. Signal Processing 2010, 90(1):16-23. 10.1016/j.sigpro.2009.05.008. Article MATH Google Scholar Conte E, de Maio A, Ricci G: GLRT-based adaptive detection algorithms for range-spread targets. WebSep 1, 2024 · The paper is organized as follows. The subspace detection problem of range-spread target is described in Section 2. While the Psub-GLRT is designed in Section 3 and its CFAR property to clutter covariance matrix is also analyzed. The performance analysis of the proposed detector is the object of Section 4.
Glrt based
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WebEssentially, the FTMF is a two-step GLRT based on the replacement model. According to the one-step GLRT, an adaptive cell under test estimator (ACUTE) is proposed in [19] based on the replacement model. It should be noted that the FTMF is obtained under the assumption that the background obeys Gaussian distribution. WebNov 30, 2008 · GLRT-Based Spectrum Sensing for Cognitive Radio. Abstract: In this paper, we propose several spectrum sensing methods designed using the generalized likelihood ratio test (GLRT) paradigm, for application in a cognitive radio network. The proposed techniques utilize the eigenvalues of the sample covariance matrix of the …
WebSep 1, 2016 · The KPLS-based GLRT fault detection performance is assessed and compared to that of the conventional KPLS through a simulated continuously stirred tank … WebApr 23, 2024 · Liu W, Liu J, Huang L, et al. Robust GLRT approaches to signal detection in the presence of spatial-temporal uncertainty. Signal Process, 2016, 118: 272–284. …
WebJan 5, 2016 · 4 The Generalized Likelihood Ratio Test (GLRT) Consider a composite hypothesis test of the form H 0: X ˘p 0(xj 0); 0 2 0 H 1: X ˘p 1(xj 1); 1 2 1 The parametric densities p 0 and p 1 need not have the same form. Thegeneralized likelihood ratio test (GLRT)is a general procedure for composite testing problems. The basic idea is to … WebOct 1, 2024 · In this paper, using training data we derived two FDA-MIMO detectors for moving target detection in unknown Gaussian noise. It has been shown that the …
WebJun 12, 2024 · To solve the problem of noise power uncertainty, generalized likelihood ratio test based on polarization vector (GLRT-PV) is proposed in . GLRT-PV is a blind sensing method which summarizes the observed samples of polarization vector as the polarization state information. Although GLRT-PV process the constant false alarm rate (CFAR) in …
WebApr 10, 2024 · Therefore, the target echo model based on the MS-MU-MIMO-OFDM communication signals is quite different from the traditional MIMO and MIMO-OFDM radar echo models. ... \times [40,85]\mathrm{m}$, which maximises the generalised likelihood ratio test (GLRT) in the following, is taken as the position estimate of the test target: max (x, y) … l hermitage hotel bcWebAug 5, 2016 · The inputs to the GLRT are the likelihood functions, the hypotheses, and the ratio threshold. The likelihood is a function of the observed outcomes and distribution … lhermitte symtomWebFeb 4, 2011 · This paper addresses adaptive detection of range-spread target in spherically invariant random vector clutter. Based on the nonadaptive detectors of NSDD-GLRT and SDD-GLRT, two adaptive detectors named ANSDD-GLRT and ASDD-GLRT are devised by replacing the unknown normalized clutter covariance matrix with the sample covariance … mcdowell physical therapyWebJan 7, 2015 · A transient detection method based on permutation entropy (PE) and generalized likelihood ratio test (GLRT) detector is proposed. PE can measure the complexity of the time series, and the PE values of noise and signals are different. A GLRT detector is utilized to locate the starting point in the PE trajectory of captured signal. This … lhermitte\\u0027s and uhthoff\\u0027s phenomenonWebAug 5, 2016 · The inputs to the GLRT are the likelihood functions, the hypotheses, and the ratio threshold. The likelihood is a function of the observed outcomes and distribution parameters; you just take the variates as fixed. The GLRT is normally applied to a 1) composite hypothesis 2) two or more parameter density functions. lhermitte\u0027s inductionWebOct 5, 2024 · GLRT-Based Adaptive Target Detection in FDA-MIMO Radar. Abstract: This article deals with the problem of adaptive target detection in the presence of … mcdowell philosopherWebCet article presente la mise en place d'une plateforme de mesure dediee aux systemes de type radar MIMO (Multiple-Input Multiple-Output). L'objectif de cette plateforme est de valider experimentalement differentes techniques de detection mcdowell phillips house medina ohio