Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals

Aiming at the problem of optimal detection of mixed signal symbol sequences, on the basis of co-frequency mixed receiving baseband signal model, sufficient statistics for joint maximum likelihood blind detection were derived, and the optimal receiver design of “mixed waveform matched filtering and symbol rate dual sampling” was given. Based on the sufficient statistics model, a lower bound on the performance of single-channel blind demodulation for co-frequency mixed signals was derived using Forney’s method. Since the complexity of the optimal receiver grows exponentially with the equivalent symbol rate sampling channel length, the impact of the truncation error on the blind demodulation performance was further analyzed for the channel truncation problem in practical applications. The result shows that the simulation results of the optimal receiver coincide with the theoretical performance analysis results, verifying the reasonableness of the derived performance bounds.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
Primary Topic
Electrostatic Discharge in Electronics
Type
article
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article

Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals

SHILAP Revista de lepidopterología
Electrostatic Discharge in Electronics
article

Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals

article en

Abstract

Aiming at the problem of optimal detection of mixed signal symbol sequences, on the basis of co-frequency mixed receiving baseband signal model, sufficient statistics for joint maximum likelihood blind detection were derived, and the optimal receiver design of “mixed waveform matched filtering and symbol rate dual sampling” was given. Based on the sufficient statistics model, a lower bound on the performance of single-channel blind demodulation for co-frequency mixed signals was derived using Forney’s method. Since the complexity of the optimal receiver grows exponentially with the equivalent symbol rate sampling channel length, the impact of the truncation error on the blind demodulation performance was further analyzed for the channel truncation problem in practical applications. The result shows that the simulation results of the optimal receiver coincide with the theoretical performance analysis results, verifying the reasonableness of the derived performance bounds.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 63%
Electrostatic Discharge in Electronics
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