Limits of detection for the consecutive mean excision algorithms

Vartiainen, Johanna; Lehtomäki, Janne; Saarnisaari, H.; Juntti, Markku

doi:10.4108/icst.crowncom2010.9177

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…This research was supported by the Finnish Funding Agency for Technology and Innovation, Nokia, Nokia Siemens Networks, Elektrobit, CWC, Academy of Finland, and Infotech Oulu Graduate School. A small part of this paper has been presented in CrownCom 2010 [21].…”

Section: Acknowledgmentsmentioning

confidence: 99%

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Analysis of the Consecutive Mean Excision Algorithms

Vartiainen

Lehtomäki

Saarnisaari

et al. 2010

Journal of Electrical and Computer Engineering

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The backward and forward consecutive mean excision (CME/FCME) algorithms are diagnostic methods for outlier (signal) detection. Since they are computationally simple, they have applications for both narrowband signal detection in cognitive radios and interference suppression. In this paper, a theoretical performance analysis framework of the CME algorithms is presented. The analysis provides simple tests of the detectability of the signals based on their shape in the considered domain (e.g., spectrum). As a consequence, results can be used to quickly check whether the CME/FCME algorithms are usable for a given problem or not without the need to resort to time consuming computer simulations. The computer simulations for random and orthogonal frequency division multiplexing (OFDM) signals show that the presented analysis is able to predict the detectability of signals well.

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Section: Acknowledgmentsmentioning

confidence: 99%

“…Therein, the signal consisted of only one lobe and no general detection limits were defined. In [21], some simple rules when a signal is detectable were considered briefly. The simulations were performed for random signals only.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Consecutive Mean Excision Algorithms

Vartiainen

Lehtomäki

Saarnisaari

et al. 2010

Journal of Electrical and Computer Engineering

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“…concentrated) in the considered domain, e.g., in the time or frequency or some other domain and the initial threshold parameter required by CME algorithms is calculated in advance based on a false alarm probability ( P fa ) of the interference‐free signal. Being computationally relatively simple, they can be applied for spectrum sensing in cognitive radios and interference suppression, and in the case of very narrowband signals the performance of the simpler BCME algorithm is adequate [15]. The FCME methods are shown to perform better at the expense of the high computational load of sorting the elements in a block [16].…”

Section: Introductionmentioning

confidence: 99%

Block‐flow noise power estimation algorithm for pulsed interference detection of GNSS receivers

2015

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The noise power estimation for pulsed interference detection in global navigation satellite system (GNSS) receivers is considered. Previous effective consecutive mean excision (CME) related algorithms in this area work in an inter-block iterative fashion and the convergent process is usually quite time-consuming and needs a large storage space. A block-flow manner based on the backward CME (BCME) algorithm to overcome these problems is proposed. Numerical results show that the method decreases the computation and storage requirements of BCME, and possesses closer convergence properties.

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“…The topic of narrowband filtering has been investigated e.g. in [13][14][15]. In [13] and [15], notch filters are used for the detection and filtering of narrowband CWI in GNSS signals.…”

Section: Introductionmentioning

confidence: 99%

Contributions to the Filtering of Narrowband Interferences in GNSS

Rusu¹

2013

SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings

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Nowadays, using the services provided by Global Navigation Satellite Systems (GNSS) is ubiquitous in geodesy, cadastre and Geographic Information Systems. Galileo, the GNSS system which is under development by the European Union, will transmit navigation signals in four subbands (E5a/L5, E5b, E6 and E1/L1) within the L band. GNSS systems are not the only users of the L band around the world; other telecommunication systems also use it. Papers analyzing real RF measurement campaigns have shown that loss-of-lock on the navigational signals is possible to GNSS receivers in the vicinity of radio and TV broadcast transmitters. It has also been demonstrated that, in the nearby area of airports, radionavigation or communication systems (e.g. Very High Frequency Omindirectional Radio Range or Instrument Landing System) can cause interference to GNSS receivers. These interferences are unwanted because they can affect the precision of the GNSS receivers and can compromise the topographical measurements. Therefore it is essential to understand better the negative effects of RF interferences on GNSS receivers and to optimize the solutions against the interferences. This paper deals with the particular matter of filtering the narrowband interferences affecting Multiplexed-Binary-Offset-Carrier (MBOC) Galileo navigation signal.

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Limits of detection for the consecutive mean excision algorithms

Cited by 3 publications

References 15 publications

Analysis of the Consecutive Mean Excision Algorithms

Analysis of the Consecutive Mean Excision Algorithms

Block‐flow noise power estimation algorithm for pulsed interference detection of GNSS receivers

Contributions to the Filtering of Narrowband Interferences in GNSS

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