OPTIMIZATION OF THE REGION OF INDISTINGUISHABILITY FOR A RECEIVER OF BINARY SIGNALS TRANSMITTED OVER A JAMMING CHANNEL

For the reception of binary pseudorandom signals under the influence of intentional interference we introduce a randomized decisive rule with a region of indistinguishability of received signals. It is established that for signals with base n ≤ 2 the constructed rule of the receiver provides an increase in noise resistance of the information transmission system in the class of interference with limited average power as compared to the Kotelnikov receiver. The obtained value of the guaranteed error probability improves the actual upper bound for this quantity.

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Publication Details

Journal
Проблемы передачи информации / Problems of Information Transmission
Published
2025-01-01
DOI
https://doi.org/10.7868/s3034583925010048
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

OPTIMIZATION OF THE REGION OF INDISTINGUISHABILITY FOR A RECEIVER OF BINARY SIGNALS TRANSMITTED OVER A JAMMING CHANNEL

A. M. Chudnov
Проблемы передачи информации / Problems of Information Transmission
Radar Systems and Signal Processing
article

OPTIMIZATION OF THE REGION OF INDISTINGUISHABILITY FOR A RECEIVER OF BINARY SIGNALS TRANSMITTED OVER A JAMMING CHANNEL

A. M. Chudnov
article en

Abstract

For the reception of binary pseudorandom signals under the influence of intentional interference we introduce a randomized decisive rule with a region of indistinguishability of received signals. It is established that for signals with base n ≤ 2 the constructed rule of the receiver provides an increase in noise resistance of the information transmission system in the class of interference with limited average power as compared to the Kotelnikov receiver. The obtained value of the guaranteed error probability improves the actual upper bound for this quantity.

Проблемы передачи информации / Problems of Information TransmissionVol. 61(1)
Openalex Percentile: Top 65%
Radar Systems and Signal Processing
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