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Communications computing

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Performance comparison of localization techniques for sequential WSN discovery
Author(s): Xue Zhang, M.K. Banavar, M. Willerton, A. Manikas, C. Tepedelenlioglu, A. Spanias, T. Thornton, E. Yeatman, A.G. Constantinides
Source: Sensor Signal Processing for Defence (SSPD 2012), 2012, p. 33 - 33
Type: ConferencePaper
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In this paper, the performance of different localization algorithms are compared in the context of the sequential Wireless Sensor Network (WSN) discovery problem. Here, all sensor nodes are at unknown locations except for a very small number of so called anchor nodes at known locations. The locations of nodes are sequentially estimated such that when the location of a given node is found, it may be used to localize others. The underlying performance of such an approach is largely dependent upon the localization technique employed. In this paper, several well-known localization techniques are presented using a united notation. These methods are time of arrival (TOA), time difference of arrival (TDOA), received signal strength (RSS), direction of arrival (DOA) and large aperture array (LAA) localization. The performance of a sequential network discovery process is then compared when using each of these localization algorithms. These algorithms are implemented in the Java-DSP software package as part of a localization toolbox. (5 pages)

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Architectural approach to alternate low-level primitive structures (ALPS) for acoustic signal processing
Author(s): Y.S. Wu, A.G. Constantinides, T.E Curtis, L.J. Wu
Source: IEE Proceedings F (Communications, Radar and Signal Processing), Volume 131, Issue 3, 1984 , p. 327 - 333
Type: Article
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The input/output relationship describing a given signal-processing application in its entirety can be partitioned into a set of primitive operations which may be represented using signal-processing graph notation (SPGN) as a network of interconnected processes. A set of alternate low-level primitive structures (ALPS) can be defined to implement the operations underpinning each node in this network. This SPGN/ALPS processor network is queue driven and message based, each queue consisting of a message header and an array of data. Current systems developments have demonstrated that a small, finite set of low-level primitives is sufficient for the synthesis of the majority of acoustic-processing problems, and the paper outlines the design approach for some of these. In particular, a prime-radix DFT algorithm, FIR and IIR filter structures using constrained filter coefficients and a general purpose array address mapping element are described. In addition, system architectures based on these SPGN/ALPS networks are developed.

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