Joint Optimization and Performance Analysis of Analog Shannon-Kotel'nikov Mapping for OFDM with Carrier Frequency Offset
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View abstract on PubMed
Summary
This summary is machine-generated.This study optimizes analog joint source-channel coding (AJSCC) for OFDM systems, addressing carrier frequency offset (CFO) to improve signal quality and analyze power efficiency.
Area Of Science
- Electrical Engineering
- Information Theory
- Wireless Communications
Background
- Analog joint source-channel coding (AJSCC) using Shannon-Kotel'nikov (S-K) mapping shows promise in orthogonal frequency division multiplexing (OFDM) systems.
- Carrier frequency offset (CFO) is a common impairment in wireless systems that degrades performance.
Purpose Of The Study
- To analyze the performance of AJSCC-OFDM systems in the presence of CFO.
- To optimize the S-K mapping for AJSCC-OFDM under CFO constraints.
- To investigate the impact of optimized AJSCC on peak-to-average power ratio (PAPR).
Main Methods
- Developed a joint optimization strategy to maximize signal-to-distortion ratio (SDR).
- Incorporated CFO constraints into the optimization process.
- Analyzed PAPR characteristics of the optimized AJSCC-OFDM system.
Main Results
- The proposed joint optimization strategy effectively maximizes SDR under CFO.
- Optimized AJSCC strategies impact the amplitude distribution of encoded symbols.
- PAPR characteristics are analyzed concerning different AJSCC parameters.
Conclusions
- The optimized AJSCC-OFDM approach enhances system performance despite CFO.
- The trade-offs between SDR and PAPR are crucial for practical AJSCC-OFDM system design.
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