Adaptive Demodulation Threshold for Wireless Sensor Networks

The patent applies dynamics by transitioning from a fixed threshold to a time-varying adaptive threshold that changes according to signal conditions. The threshold is continuously adjusted based on the demodulation values of previously received symbols, allowing the system to adapt to DC offset and fading effects while maintaining low complexity through a simple recursive update mechanism.

The patent implements feedback by using the demodulation values of previously received symbols to adjust the current threshold. The system feeds back the threshold adjustment information based on the comparison between the current symbol and previous symbols, creating a closed-loop system that automatically corrects for DC offset and fading without requiring complex external control mechanisms.

The patent applies self-service by enabling the receiver to automatically adjust its own threshold based on the received signal characteristics. The system uses the demodulation values of previously received symbols to self-correct for DC offset and fading effects, eliminating the need for complex external processing or high-power signal processing techniques while maintaining good demodulation performance.

The patent implements parameter changes by dynamically adjusting the threshold parameter based on signal conditions. Instead of using complex signal processing techniques that consume high power, the system simply changes the threshold parameter recursively using the formula: threshold[n] = threshold[n-1] + α × (symbol[n-1] - threshold[n-1]), where α is a small adjustment factor. This parameter change approach achieves good demodulation performance with minimal power consumption.

The patent applies dynamics by using a recursive threshold update mechanism that incorporates multiple previous symbols indirectly through the evolving threshold value. Instead of directly processing multiple symbols at each step, the system dynamically updates the threshold using the previous threshold and the most recent symbol, achieving adaptability through the cumulative effect of sequential updates: threshold[n] = threshold[n-1] + α × (symbol[n-1] - threshold[n-1]).

The patent implements partial action by using only the most recent symbol for threshold adjustment at each step, rather than processing all previous symbols equally. The recursive formula threshold[n] = threshold[n-1] + α × (symbol[n-1] - threshold[n-1]) uses only the latest symbol difference, which is sufficient to track signal changes. The small adjustment factor α ensures that historical information is implicitly incorporated without requiring explicit processing of multiple symbols, reducing computational complexity while maintaining adaptability.