We present a trainable and adaptive detector (the T-Detector) with a core trainable BCJR (T-BCJR) that leverages the extrinsic information provided by an outer SISO decoder to enhance its tracking capability in time-varying channels. The T-Detector is designed to be channel- and modulation-agnostic, performing key detection tasks such as channel shortening, Maximum Likelihood (ML) sequence detection, and Log-Likelihood (LL) computation for soft-input channel decoding. Its processing complexity remains equal to that of conventional detection methods. The exploitation of the outer decoder enhances system performance and reduces pilot overhead.

Adaptive T-Detector exploiting Outer SISO Decoder in Time-Selective Channels / Magnaldi, Martina; Montorsi, Guido. - (2025). (Intervento presentato al convegno International Symposium on Topics in Coding (ISTC) tenutosi a Los Angeles (USA) nel 18-22 August 2025).

Adaptive T-Detector exploiting Outer SISO Decoder in Time-Selective Channels

Magnaldi,Martina;Montorsi,Guido
2025

Abstract

We present a trainable and adaptive detector (the T-Detector) with a core trainable BCJR (T-BCJR) that leverages the extrinsic information provided by an outer SISO decoder to enhance its tracking capability in time-varying channels. The T-Detector is designed to be channel- and modulation-agnostic, performing key detection tasks such as channel shortening, Maximum Likelihood (ML) sequence detection, and Log-Likelihood (LL) computation for soft-input channel decoding. Its processing complexity remains equal to that of conventional detection methods. The exploitation of the outer decoder enhances system performance and reduces pilot overhead.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3002668