Cochannel interference suppression for constant modulus signals

Pukkila, M.; Mattellini, G.P.; Ranta, P.A.

doi:10.1109/icc.2004.1312992

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Pukkila, et al [66,67], investigate SAIC for GSM where the authors assume the interference is constant modulus, and they assume they do not have channel state information. This technique is known as the Constant Modulus -Single-Antenna Interference Cancellation (CM-SAIC) algorithm.…”

Section: Filtering Methodsmentioning

confidence: 99%

Joint Demodulation of Low-Entropy Narrowband Cochannel Signals

Meehan¹,

Kragh²,

Clark³

2007

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government.Approved for public release; distribution is unlimited.Reception of one or more signals, overlapping in frequency and time with the desired signal, is commonly called cochannel interference. Joint detection is the optimal minimum probability of error decision rule for cochannel interference. This dissertation investigates the optimum approach and a number of suboptimum approaches to joint detection when a priori information based in fields, or sets of transmitted symbols, is available. In the general case the solution presents itself as a time-varying estimation problem that may be efficiently solved with a modified Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm. The low-entropy properties of a particular signal of interest, the Automatic Identification System (AIS), are presented. Prediction methods are developed for this signal to be used as a priori information for a joint field-based maximum a posteriori (MAP) detector. Advanced joint detection techniques to mitigate cochannel interference are found to have superior bit error rate (BER) performance than can be obtained compared to traditional methods. ABSTRACTReception of one or more signals, overlapping in frequency and time with the desired signal, is commonly called cochannel interference. Joint detection is the optimal minimum probability of error decision rule for cochannel interference. This dissertation investigates the optimum approach and a number of suboptimum approaches to joint detection when a priori information based in fields, or sets of transmitted symbols, is available. In the general case the solution presents itself as a time-varying estimation problem that may be efficiently solved with a modified Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm.

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Section: Filtering Methodsmentioning

confidence: 99%

Joint Demodulation of Low-Entropy Narrowband Cochannel Signals

Meehan¹,

Kragh²,

Clark³

2007

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“…Therefore, single antenna interference cancellation (SAIC) algorithms have received significant attention in recent years, especially for transmission with single-carrier modulation, cf. [5,6,7,8]. The advantages of SAIC for GSM radio networks were analyzed in [9], and in [6] it has been shown that GSM network capacity can be dramatically improved by SAIC.…”

Section: Introductionmentioning

confidence: 99%

OFDM transmission with single antenna interference cancellation

Konrad

Gerstacker

2008

2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications

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Future mobile communications radio networks, e.g. 3GPP Long Term Evolution (LTE), will typically use an orthogonal frequency division multiplexing (OFDM) based air interface in the downlink. Furthermore, in order to avoid frequency planning, a frequency reuse factor of one is desirable. In this case, system capacity is limited by interference, which is particularly crucial for mobile terminals with a single receive antenna. For a high throughput, interference cancellation algorithms are required in the receiver. In this paper, a single antenna interference cancellation (SAIC) algorithm is introduced for amplitude-shift keying (ASK) modulation schemes used in coded OFDM transmission which achieves high gains in comparison to a conventional coded OFDM transmission employing quadrature amplitude modulation (QAM) in an interference limited scenario. Furthermore, an adaptive least-mean-square (LMS) and a recursive least-squares (RLS) SAIC receiver, respectively, are presented. We show that in particular the RLS solution enables a good tradeoff between performance and complexity and is robust even to multiple interferers and frequency synchronization errors.

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Widely Linear Alamouti Receiver for the Reception of Real-Valued Constellations Corrupted by Interferences—The Alamouti-SAIC/MAIC Concept

Chevalier

Dupuy²

2011

IEEE Trans. Signal Process.

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Cochannel interference suppression for constant modulus signals

Cited by 4 publications

References 6 publications

Joint Demodulation of Low-Entropy Narrowband Cochannel Signals

Joint Demodulation of Low-Entropy Narrowband Cochannel Signals

OFDM transmission with single antenna interference cancellation

Widely Linear Alamouti Receiver for the Reception of Real-Valued Constellations Corrupted by Interferences—The Alamouti-SAIC/MAIC Concept

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