DocumentCode :
179259
Title :
Performance bounds for joint estimation of ionospheric and target parameters in MIMO-OTH radar
Author :
Mao Li ; Qian He ; Zishu He ; Blum, Rick S.
Author_Institution :
EE Dept., Univ. of Electron. Sci. & Tech. of China, Chengdu, China
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
4653
Lastpage :
4657
Abstract :
Ionospheric information is required when estimating target parameters in skywave over-the-horizon (OTH) radar. Unlike the traditional OTH radar which uses only the measurements of ionospheric parameters obtained from an ionosonde to estimate the target parameters, the multiple-input multiple-output skywave OTH (MIMO-OTH) radar studied in this paper estimates the ionospheric and target parameters jointly by exploiting the data received by both the ionosonde and the radar receivers. Two scenarios where the prior distribution of the ionospheric parameters is either known or unknown are considered. For the case when ionospheric parameter prior distribution is unknown, the joint maximum likelihood (JML) estimator is investigated and the Cramér-Rao bound (CRB) is derived. For the case when the ionospheric parameter prior distribution is known, the hybrid maximum likelihood and the maximum a posteriori (ML/MAP) estimator is studied and the hybrid Cramér-Rao bound (HCRB) is developed.
Keywords :
MIMO radar; ionospheric measuring apparatus; maximum likelihood estimation; radar receivers; HCRB; JML estimator; MIMO-OTH radar; ML-MAP estimator; hybrid Cramer-Rao bound; hybrid maximum likelihood estimator; ionosonde; ionospheric estimation; ionospheric information; ionospheric parameters; joint maximum likelihood estimator; maximum a posteriori estimator; multiple-input multiple-output radar; performance bounds; radar receivers; skywave over-the-horizon radar; target parameter estimation; Joints; Manganese; Maximum likelihood estimation; Radar; Signal to noise ratio; Vectors; MIMO-OTH radar; ionospheric parameters; joint estimation; target parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854484
Filename :
6854484
Link To Document :
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