On iterative decoding in some existing systems

Bajcsy, J.; Chong, Chan-Vee; Garr, D.A.; Hunziker, J.; Kobayashi, Hisashi

doi:10.1109/49.924872

Cited by 13 publications

(2 citation statements)

References 24 publications

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“…It consists of two constituent SOVA decoders connected in a loop, where soft decision decoding information is gradually refined as it is passed between the decoders. The decoding process can be expressed as [4] …”

Section: A Turbo Encodermentioning

confidence: 99%

SOVA Decoding with Blind Channel Estimation in a SIMO FIR Channel

Singh

Kwok

2006

MILCOM 2006 - 2006 IEEE Military Communications Conference

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This paper addresses the issue of blind channel estimation (BCE) in a SIMO FIR channel. This is an issue arising in e.g. mobile communication systems using digital signaling. It also arises in the presence of frequency selective fading, when training (reference/pilot) symbols are unavailable. In this contribution we analyze the performances of a ½ and 3 1 rate turbo code of various frame lengths with two types of second order statistical BCE algorithms -the subspace decomposition algorithm (SSDA) and the outer product decomposition algorithm (OPDA). The object of this contribution is to investigate and compare the performances of the turbo coded system with these two types of BCE algorithms in order to characterize a possible and realistic scenario. The results show that the turbo coded schemes using the SSDA can outperform the scheme using the OPDA by as mush as 7dB.

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Section: A Turbo Encodermentioning

confidence: 99%

SOVA Decoding with Blind Channel Estimation in a SIMO FIR Channel

Singh

Kwok

2006

MILCOM 2006 - 2006 IEEE Military Communications Conference

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“…It consists of two constituent Log-MAP decoders connected in a loop, where soft decision decoding information is gradually refined as it is passed between the decoders. The decoding process can be expressed as [4] …”

Section: A Turbo Encodermentioning

confidence: 99%

Turbo Coding with Blind Channel Estimation in a SIMO FIR Channel

Singh

Kwok

2006

IEEE Vehicular Technology Conference

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This paper addresses the issue of blind channel estimation (BCE) in a SIMO FIR channel. This is an issue arising in e.g. mobile communication systems using digital signaling. It also arises in the presence of frequency selective fading, when training (reference/pilot) symbols are unavailable. In this contribution we analyze the performances of a ½ and 3 1 rate turbo code of various frame lengths with two types of second order statistical BCE algorithms. The first algorithm is the subspace decomposition algorithm (SSDA) and the second is the outer product decomposition algorithm (OPDA). The object of this contribution is to investigate the performances of the turbo coded system with these two types of BCE algorithms in order to characterize a possible and realistic scenario. The results show that the turbo coded schemes using the SSDA can outperform the scheme using the OPDA by as mush as 7dB.

show abstract