Suppression of multiple narrowband interferers in a spread-spectrum communication system

Catharina Carlemalm; H. Vincent Poor; Andrew Logothetis

doi:10.1109/49.864002

Suppression of multiple narrowband interferers in a spread-spectrum communication system

Catharina Carlemalm, H. Vincent Poor, Andrew Logothetis

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

33 Scopus citations

Abstract

We consider the problem of estimating and suppressing many unknown independent and time-varying interferers in a spread-spectrum communication system. The interferers are assumed to be present in a wide frequency range. In order to detect, estimate, and track the interference, we use a bank of hidden Markov model filters operating in the frequency domain. The hidden Markov model filters' outputs are then used to suppress the existing interference. The computational complexity of our scheme is only linear in the number of interferers. The simulation studies show that our proposed novel schemes adapt quickly in tracking the time-varying nature of the interference.

Original language	English (US)
Pages (from-to)	1365-1374
Number of pages	10
Journal	IEEE Journal on Selected Areas in Communications
Volume	18
Issue number	8
DOIs	https://doi.org/10.1109/49.864002
State	Published - Aug 2000
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/49.864002

Cite this

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title = "Suppression of multiple narrowband interferers in a spread-spectrum communication system",

abstract = "We consider the problem of estimating and suppressing many unknown independent and time-varying interferers in a spread-spectrum communication system. The interferers are assumed to be present in a wide frequency range. In order to detect, estimate, and track the interference, we use a bank of hidden Markov model filters operating in the frequency domain. The hidden Markov model filters' outputs are then used to suppress the existing interference. The computational complexity of our scheme is only linear in the number of interferers. The simulation studies show that our proposed novel schemes adapt quickly in tracking the time-varying nature of the interference.",

author = "Catharina Carlemalm and Poor, {H. Vincent} and Andrew Logothetis",

note = "Funding Information: Manuscript received August 1999; revised February 28, 2000. This work was supported in part by the U.S. Office of Naval Research under Grant N00014-00-1-0141, and in part by the New Jersey Center for Wireless Telecommunications. This paper was presented in part at the 37th Annual Allerton Conference on Communication, Control, and Engineering, Monticello, IL, Sept. 22–24, 1999. The work of C. Carlemalm was performed while she was at Princeton University. The work of A. Logothetis was performed while he was at Princeton University.",

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AU - Logothetis, Andrew

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N2 - We consider the problem of estimating and suppressing many unknown independent and time-varying interferers in a spread-spectrum communication system. The interferers are assumed to be present in a wide frequency range. In order to detect, estimate, and track the interference, we use a bank of hidden Markov model filters operating in the frequency domain. The hidden Markov model filters' outputs are then used to suppress the existing interference. The computational complexity of our scheme is only linear in the number of interferers. The simulation studies show that our proposed novel schemes adapt quickly in tracking the time-varying nature of the interference.

AB - We consider the problem of estimating and suppressing many unknown independent and time-varying interferers in a spread-spectrum communication system. The interferers are assumed to be present in a wide frequency range. In order to detect, estimate, and track the interference, we use a bank of hidden Markov model filters operating in the frequency domain. The hidden Markov model filters' outputs are then used to suppress the existing interference. The computational complexity of our scheme is only linear in the number of interferers. The simulation studies show that our proposed novel schemes adapt quickly in tracking the time-varying nature of the interference.

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Suppression of multiple narrowband interferers in a spread-spectrum communication system

Abstract

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