Rao and Wald Tests for Nonhomogeneous Scenarios

Clicks: 159
ID: 110673
2012
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
In this paper, we focus on the design of adaptive receivers for nonhomogeneous scenarios. More precisely, at the design stage we assume a mismatch between the covariance matrix of the noise in the cell under test and that of secondary data. Under the above assumption, we show that the Wald test is the adaptive matched filter, while the Rao test coincides with the receiver obtained by using the Rao test design criterion in homogeneous environment, hence providing a theoretical explanation of the enhanced selectivity of this receiver.
Reference Key
hao2012sensorsrao Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chengpeng Hao;Danilo Orlando;Chaohuan Hou;Hao, Chengpeng;Orlando, Danilo;Hou, Chaohuan;
Journal sensors
Year 2012
DOI
10.3390/s120404730
URL
https://www.mdpi.com/1424-8220/12/4/4730
Keywords
mismatch nonhomogeneous scenarios rao test wald test National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:22666055 pmc3355437 doi:10.3390/s120404730 chengpeng hao danilo orlando chaohuan hou

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.