The soft‐output principle—reminiscences and new developments

Hoeher, Peter Adam; Robertson, Patrick; Offer, E.; Woerz, T.

doi:10.1002/ett.1200

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…Often, it is not possible to meet the required accuracy with a single radiolocation method. Therefore, several radiolocation methods should be combined via sensor fusion [20][21][22] in order to improve the positioning accuracy. Keeping in mind that a system can always be extended by assisting concepts, the system proposal should be understood as a single contribution concerning positioning, that can be combined with other radiolocation methods via sensor fusion.…”

Section: Introductionmentioning

confidence: 99%

Performance limits of channel parameter estimation for joint communication and positioning

Schmeink

Hoeher

2012

EURASIP J. Adv. Signal Process.

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Recently, a system concept for joint communication and positioning has been proposed by the authors. Channel parameter estimation (CPE) is the core part of this system proposal. Parameters of the physical channel, which can be exploited for positioning, are estimated based on the assumption that a priori knowledge about pulse shaping and receive filtering is available. At the same time, channel estimates of the equivalent discrete-time channel model, which are needed for data detection, are obtained inherently. This article focusses on the positioning part of the system proposal. Performance limits for CPE in terms of Cramer-Rao lower bounds are determined for different channel models. The influence of oversampling and of different channel characteristics is investigated. Oversampling proves especially helpful in dense multipath scenarios, which are most challenging. Based on the presented results, oversampling with a factor of two is recommended in order to improve the positioning accuracy. Excessive oversampling like in conventional global positioning system receivers is not necessary.

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Section: Introductionmentioning

confidence: 99%

Performance limits of channel parameter estimation for joint communication and positioning

Schmeink

Hoeher

2012

EURASIP J. Adv. Signal Process.

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“…In the field of navigation, soft information is exploited for sensor fusion [20]. This paper aims at obtaining soft information for the parameter estimates in order to improve the positioning accuracy before sensor fusion is applied.…”

Section: Definition Of Soft Informationmentioning

confidence: 99%

Joint communication and positioning based on soft channel parameter estimation

Schmeink

Hoeher

2011

J Wireless Com Network

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A joint communication and positioning system based on maximum-likelihood channel parameter estimation is proposed. The parameters of the physical channel, needed for positioning, and the channel coefficients of the equivalent discrete-time channel model, needed for communication, are estimated jointly using a priori information about pulse shaping and receive filtering. The paper focusses on the positioning part of the system. It is investigated how soft information for the parameter estimates can be obtained. On the basis of confidence regions, two methods for obtaining soft information are proposed. The accuracy of these approximative methods depends on the nonlinearity of the parameter estimation problem, which is analyzed by so-called curvature measures. The performance of the two methods is investigated by means of Monte Carlo simulations. The results are compared with the Cramer-Rao lower bound. It is shown that soft information aids the positioning. Negative effects caused by multipath propagation can be mitigated significantly even without oversampling.

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