Research on TOA estimation algorithm for actual COSPAS-SARSAT signal

Kun Wang; Si Liang Wu; Jian Gang Hou

doi:10.3724/SP.J.1146.2011.00338

Research on TOA estimation algorithm for actual COSPAS-SARSAT signal

Kun Wang^*, Si Liang Wu, Jian Gang Hou

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

According to the high precision demand of estimating TOA in Galileo Search And Rescue (SAR) system, and considering the uncertainty of message bit width and the asymmetry degree of modulation in actual COSPAS-SARSAT signal, a new TOA estimation algorithm based on Multiple dimensions Joint Maximum Likelihood Estimation (MJMLE) algorithm is proposed. The COSPAS-SARSAT signal model containing the asymmetry degree of modulation is introduced first. Then the principle of the algorithm is derived and the concrete realization is given. Monte Carlo simulation results show that when Carrier to Noise Ratio (CNR) equals to the threshold of 34.8 dBHz and the asymmetry degree of modulation is the extreme condition with 5% and -5%, root-mean-square errors (rmse) of TOA estimation of this algorithm is less than 13.5 μs, which can satisfy the system requirement of 15 μs and better than that of other estimation algorithms.

Original language	English
Pages (from-to)	2647-2651
Number of pages	5
Journal	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume	33
Issue number	11
DOIs	https://doi.org/10.3724/SP.J.1146.2011.00338
Publication status	Published - Nov 2011

Keywords

Asymmetry degree of modulation
Message bit width
Multiple dimensions Joint Maximum Likelihood Estimation (MJMLE)
Signal processing
TOA

Access to Document

10.3724/SP.J.1146.2011.00338

Cite this

@article{59a21557c4d549d6a9f98e14da42ce59,

title = "Research on TOA estimation algorithm for actual COSPAS-SARSAT signal",

abstract = "According to the high precision demand of estimating TOA in Galileo Search And Rescue (SAR) system, and considering the uncertainty of message bit width and the asymmetry degree of modulation in actual COSPAS-SARSAT signal, a new TOA estimation algorithm based on Multiple dimensions Joint Maximum Likelihood Estimation (MJMLE) algorithm is proposed. The COSPAS-SARSAT signal model containing the asymmetry degree of modulation is introduced first. Then the principle of the algorithm is derived and the concrete realization is given. Monte Carlo simulation results show that when Carrier to Noise Ratio (CNR) equals to the threshold of 34.8 dBHz and the asymmetry degree of modulation is the extreme condition with 5% and -5%, root-mean-square errors (rmse) of TOA estimation of this algorithm is less than 13.5 μs, which can satisfy the system requirement of 15 μs and better than that of other estimation algorithms.",

keywords = "Asymmetry degree of modulation, Message bit width, Multiple dimensions Joint Maximum Likelihood Estimation (MJMLE), Signal processing, TOA",

author = "Kun Wang and Wu, {Si Liang} and Hou, {Jian Gang}",

year = "2011",

month = nov,

doi = "10.3724/SP.J.1146.2011.00338",

language = "English",

volume = "33",

pages = "2647--2651",

journal = "Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology",

issn = "1009-5896",

publisher = "Science China Press",

number = "11",

}

TY - JOUR

T1 - Research on TOA estimation algorithm for actual COSPAS-SARSAT signal

AU - Wang, Kun

AU - Wu, Si Liang

AU - Hou, Jian Gang

PY - 2011/11

Y1 - 2011/11

N2 - According to the high precision demand of estimating TOA in Galileo Search And Rescue (SAR) system, and considering the uncertainty of message bit width and the asymmetry degree of modulation in actual COSPAS-SARSAT signal, a new TOA estimation algorithm based on Multiple dimensions Joint Maximum Likelihood Estimation (MJMLE) algorithm is proposed. The COSPAS-SARSAT signal model containing the asymmetry degree of modulation is introduced first. Then the principle of the algorithm is derived and the concrete realization is given. Monte Carlo simulation results show that when Carrier to Noise Ratio (CNR) equals to the threshold of 34.8 dBHz and the asymmetry degree of modulation is the extreme condition with 5% and -5%, root-mean-square errors (rmse) of TOA estimation of this algorithm is less than 13.5 μs, which can satisfy the system requirement of 15 μs and better than that of other estimation algorithms.

AB - According to the high precision demand of estimating TOA in Galileo Search And Rescue (SAR) system, and considering the uncertainty of message bit width and the asymmetry degree of modulation in actual COSPAS-SARSAT signal, a new TOA estimation algorithm based on Multiple dimensions Joint Maximum Likelihood Estimation (MJMLE) algorithm is proposed. The COSPAS-SARSAT signal model containing the asymmetry degree of modulation is introduced first. Then the principle of the algorithm is derived and the concrete realization is given. Monte Carlo simulation results show that when Carrier to Noise Ratio (CNR) equals to the threshold of 34.8 dBHz and the asymmetry degree of modulation is the extreme condition with 5% and -5%, root-mean-square errors (rmse) of TOA estimation of this algorithm is less than 13.5 μs, which can satisfy the system requirement of 15 μs and better than that of other estimation algorithms.

KW - Asymmetry degree of modulation

KW - Message bit width

KW - Multiple dimensions Joint Maximum Likelihood Estimation (MJMLE)

KW - Signal processing

KW - TOA

UR - http://www.scopus.com/inward/record.url?scp=82755167208&partnerID=8YFLogxK

U2 - 10.3724/SP.J.1146.2011.00338

DO - 10.3724/SP.J.1146.2011.00338

M3 - Article

AN - SCOPUS:82755167208

SN - 1009-5896

VL - 33

SP - 2647

EP - 2651

JO - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

JF - Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

IS - 11

ER -

Research on TOA estimation algorithm for actual COSPAS-SARSAT signal

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this