NDLI: Link activation protocols for a mobile communication network with directive/adaptive antennas

Content Provider	IEEE Xplore Digital Library
Author	Tien-Yow Liu Scholtz, R.A.
Copyright Year	1972
Abstract	A noncentralized fully distributed mobile communication network with directive/adaptive antennas is proposed. The spatial and temporal synchronization of transmitting and receiving antenna beams is accomplished by employing the global positioning system information and a synchronized spatial search algorithm. The link setup between a communication transmitter (CT) and a communication receiver (CR) depends on the success of both forward and reverse links. A two-way communication link protocol is defined as a basic agreement for the link activation in the network. Two link search algorithms, for additive white Gaussian noise channels, are proposed for use in hostile communication environments as follows: (1) a sequential ascending search power algorithm using an optimal set of link power levels and (2) a sequential Bayesian search algorithm (SBSA) using Bayes rule to update the CR location information. The optimal SBSA can be obtained by using dynamic programming, but the computational complexity is unfeasibly high. The experimental results in which the CT uses a noncoherent matched filter receiver for spread-spectrum code acquisition and the unfriendly interceptor uses a wide-band energy detector for both link search algorithms are presented.
Starting Page	60
Ending Page	74
Page Count	15
File Size	548590
File Format	PDF
ISSN	00906778
Volume Number	48
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Mobile communication Directive antennas Chromium Adaptive arrays Mobile antennas Receiving antennas Transmitting antennas Transmitters Additive white noise
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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