Radio Network Signal Detection Using Embedded Sequences
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Solution Overview
Problem
In radio networks, uplink signals from portable remote stations are distorted by frequency errors and channel errors due to propagation over distance, making them difficult to detect compared to high-power communications between base stations.
Innovation Solution
A method involving signal modulation with embedded known information, processing sample vectors with related features to estimate frequency errors and channel effects, and correcting these errors to detect signals from remote stations, using pseudorandom number sequences and conjugate processing to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If signals are transmitted from remote stations over uplinks, then communication between portable stations and base stations is enabled, but the signals become distorted by frequency errors and channel errors making them difficult to detect
Solution Approach 1:
The patent applies preliminary action by embedding known information sequences into the transmitted signal before propagation. This allows the receiver to perform correlation processing using the known sequence, which enhances detection capability and enables accurate estimation of frequency and channel errors even in low-power uplink conditions
Solution Approach 2:
The patent uses feedback by comparing the received signal with the known embedded sequence through correlation processing. The correlation output provides feedback information about frequency errors and channel conditions, which are then used to correct the received signal and improve detection accuracy
2Measurement precision
If frequency errors and channel errors are corrected through signal processing, then detection accuracy of uplink signals is improved, but the processing complexity increases
Solution Approach 1:
The patent applies copying by creating a reference copy of the known embedded sequence at the receiver. This reference copy is then used in correlation processing to detect and correct frequency and channel errors, simplifying the overall processing compared to more complex iterative correction algorithms
Data Source
AI summary
In a radio network that includes at least one base station and at least one remote station, signals are modulated for transmission from the remote stations by embedding known information throughout the signal in a predetermined pattern and a group of sample vectors of a signal received by at least one base station of the network are collected and processed to detect a said received signal that resulted from propagation of a signal from a remote station of the network. The group of sample vectors is collected from (a) signals that are received by more than one base station of the network; and/or (b) signals that are received simultaneously at different frequencies by at least one base station of the network.