Adaptive Identification of Linear Systems with a Mix of Static and Time-Varying Parameters

Niedźwiecki, Maciej; Gancza, Artur; Shen, Lu; Zakharov, Yuriy

doi:10.2139/ssrn.4076753

Cited by 1 publication

(2 citation statements)

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“…In time-invariant scenarios, the classical RLS adaptive filter would be sufficient for the digital SI cancellation. In time-varying scenarios, adaptive filtering algorithms with a better tracking ability are required to cancel the SI to the noise floor [6], [17]. The parameters of the adaptive filter need to be adjusted for each scenario to achieve the best SIC performance.…”

Section: Digital Si Cancellationmentioning

confidence: 99%

“…With that taken into account, in time-invariant scenarios, the SI signal can be removed from the hydrophone signal with a residual signal level close to the receiver's noise floor using classical RLS adaptive filters [16]. In our lake experiments, more advanced adaptive filtering algorithms will be used to track the SI channel variation caused by reflections from the time-varying lake surface [6], [17]. We investigate the performance of a UAC system with spread-spectrum signals.…”

Section: Introductionmentioning

confidence: 99%

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Full-Duplex UAC Receiver With Two-Sensor Transducer

Henson

Shen

Zakharov

2022

IEEE Trans. Circuits Syst. II

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In this brief we present a design of a full-duplex (FD) underwater acoustic communication (UAC) receiver with a two-sensor transducer. The transducer consists of two piezoceramic cylinders cast together in polyurethane resin; one acts as a hydrophone and the other a projector. As the distance between the projector and hydrophone is extremely short, a high level of self-interference (SI) from the projector is received at the hydrophone. This SI must be eliminated to enable farend data demodulation. In this work, we adopt a digital SI cancellation scheme based on adaptive filtering. We investigate the SI cancellation and far-end data demodulation performance with the two-sensor transducer in tank and lake experiments. The Rake receiver is used for the far-end data demodulation. As demonstrated by the experimental results, the far-end SNR loss in the FD experiment is less than 3 dB compared to the half-duplex experiment when there is only far-end transmission.

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Section: Digital Si Cancellationmentioning

confidence: 99%