Journal ArticleDOI
The Capture Effect in FM Receivers
K. Leentvaar,J. Flint +1 more
TLDR
A theoretical explanation of the capture effect is given by calculating the instantaneous frequency of the output signal of a limiter when two frequency modulated signals are present at the limiter input.Abstract:
In this paper a theoretical explanation of the capture effect is given by calculating the instantaneous frequency of the output signal of a limiter when two frequency modulated (FM) signals are present at the limiter input. When this signal is applied to a demodulator with unlimited bandwidth, the output signal of the demodulator proves to have an extreme capture effect. When however the demodulator bandwidth is limited, the capture effect is shown not be be extreme. This phenomenon is explained and possibilities are given to minimize the capture effect. Some of the results of measurements on limiters and demodulators are given in this paper; they prove that a weak capture effect can be obtained. A method of calculating the degree of capturing is included.read more
Citations
More filters
Proceedings Article
Efficient network flooding and time synchronization with Glossy
TL;DR: In this article, a novel flooding architecture for wireless sensor networks is presented, which temporally decouples flooding from other network activities, and the authors derive a timing requirement to make concurrent transmissions of the same packet interfere constructively, allowing a receiver to decode the packet even in the absence of capture effects.
Proceedings ArticleDOI
Exploiting the capture effect for collision detection and recovery
TL;DR: A technique to detect and recover messages from packet collisions by exploiting the capture effect can differentiate between collisions and packet loss and can identify the nodes involved in the collisions.
Proceedings ArticleDOI
Low-power wireless bus
TL;DR: This work presents the Low-Power Wireless Bus (LWB), a communication protocol that supports several traffic patterns and mobile nodes immersed in static infrastructures, and shows that LWB performs comparably or significantly better in many-to-one scenarios, and adapts efficiently to varying traffic loads.
Proceedings ArticleDOI
Experimental study of concurrent transmission in wireless sensor networks
TL;DR: A systematic experimental study of the effects of concurrent packet transmissions in low-power wireless networks offers a better understanding of concurrent transmissions and suggests richer interference models and useful guidelines to improve the design and analysis of higher layer protocols.
Proceedings ArticleDOI
Chaos: versatile and efficient all-to-all data sharing and in-network processing at scale
TL;DR: Chaos is introduced, the first primitive that natively supports all-to-all data sharing in low-power wireless networks, and embeds programmable in-network processing into a communication support based on synchronous transmissions.