Multicarrier Wake-Up Radio Coding for Low-Power Signal Detection
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Solution Overview
Problem
Low data rate receiver systems, such as Wake Up Radios, face challenges in power consumption, requiring an efficient wake-up signal detection mechanism to conserve energy in wireless communication devices with limited power supplies.
Innovation Solution
A method involving waveform-coding successive on-off-keying (OOK) mapped data bits onto multicarrier modulated symbols, where alternating sub-carriers are set to non-zeros and zeros, using OFDM modulation with a guard interval, and Manchester-coding to transmit a wake-up signal over a wireless channel, allowing for low power detection without channel estimation or equalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional wake-up signal detection methods are used, then detection capability is achieved, but power consumption is high
Solution Approach 1:
The patent extracts and removes complex processing functions (channel estimation, equalization) from the wake-up radio receiver, keeping only the essential detection capability. This extraction allows the receiver to operate with minimal processing while maintaining detection reliability, directly reducing power consumption.
Solution Approach 2:
The patent employs a simplified detection algorithm that uses inexpensive, low-power processing resources. The receiver uses a basic correlation-based detection method rather than complex signal processing, effectively using 'cheap' computational resources that consume minimal power while achieving sufficient detection performance.
2Measurement precision
If complex detection algorithms are used, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential detection function from complex signal processing algorithms. By removing channel estimation and equalization steps, the system achieves detection accuracy sufficient for wake-up signals while dramatically reducing algorithmic complexity and processing requirements.
Solution Approach 2:
Instead of using complex algorithms and simplifying them, the patent inverts the approach by starting with a simple correlation-based detection method and enhancing it only where absolutely necessary. This inversion allows achieving adequate detection accuracy with minimal complexity.
3Reliability
If full OFDM processing is used, then signal robustness is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the essential robustness-providing features of OFDM (multicarrier modulation with orthogonal subcarriers) while removing the power-intensive processing components (channel estimation, equalization, complex FFT operations). This allows maintaining signal robustness against multipath fading while drastically reducing power consumption.
Solution Approach 2:
The patent applies partial OFDM processing - using enough multicarrier modulation to achieve necessary signal robustness but stopping before full processing would be required. The system uses a simplified correlation detector that leverages the orthogonal structure of OFDM symbols without performing complete OFDM decoding, achieving adequate robustness with minimal power expenditure.
Data Source
AI summary
Waveform-coding is applied to map successive on-off-keying (OOK) data bits onto successive multicarrier modulated symbols in time domain, wherein each multicarrier modulated symbol includes a set of sub-carriers in which alternating sub-carriers are set to non-zeros and zeros in frequency domain. The waveform coded multicarrier modulated symbols are up-converted to a carrier frequency to provide a data signal that is transmitted over a wireless channel.