Masters Theses

Ming Yue

Keywords and Phrases

Dual PN; Hardware implementation; ID detection; Underwater Acoustic sensor networks; Wake-up receiver

Abstract

"This thesis designs a low-complexity dual Pseudorandom Noise (PN) scheme for identity (ID) detection and coarse frame synchronization. The two PN sequences for a node are identical and are separated by a specified length of gap which serves as the ID of different sensor nodes. The dual PN sequences are short in length but are capable of combating severe underwater acoustic (UWA) multipath fading channels that exhibit time varying impulse responses up to 100 taps. The receiver ID detection is implemented on a microcontroller MSP430F5529 by calculating the correlation between the two segments of the PN sequence with the specified separation gap. When the gap length is matched, the correlator outputs a peak which triggers the wake-up enable. The time index of the correlator peak is used as the coarse synchronization of the data frame. The correlator is implemented by an iterative algorithm that uses only one multiplication and two additions for each sample input regardless of the length of the PN sequence, thus achieving low computational complexity. The real-time processing requirement is also met via direct memory access (DMA) and two circular buffers to accelerate data transfer between the peripherals and the memory. The proposed dual PN detection scheme has been successfully tested by simulated fading channels and real-world measured channels. The results show that, in long multipath channels with more than 60 taps, the proposed scheme achieves high detection rate and low false alarm rate using maximal-length sequences as short as 31 bits to 127 bits, therefore it is suitable as a low-power wake-up receiver. The future research will integrate the wake-up receiver with Digital Signal Processors (DSP) for payload detection."--Abstract, page iv.

Advisor(s)

Zheng, Y. Rosa

Committee Member(s)

Zheng, Y. Rosa
Zawodniok, Maciej Jan, 1975-
David, Pommerenke

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2015

Journal article titles appearing in thesis/dissertation

  • Microcontroller Implementation of Low-complexity Wake-up Receiver for Wireless Sensor Nodes in Severe Multipath Fading Channels
  • DSP Implementation of Direct-Sequence Spread Spectrum Underwater Acoustic Modems with Networking Capability

Pagination

ix, 41 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2015 Ming Yue, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Underwater acoustics -- Mathematical models
Sensor networks
Oceanographic instruments

Thesis Number

T 10747

Electronic OCLC #

921186824

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