Efficient set-membership filtering algorithms for wireless sensor networks

Ghofrani, Pouya; Schmeink, Anke

doi:10.1109/wisee.2016.7877298

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…This is of course when the least squares (LE) algorithm with enough bit-resolution is employed for the channel estimation at the sink node. If low-complexity adaptive filtering algorithms such as SM-NLMS and BEA-CON in [7] and SM-AP in [8], [9] with partial updates are performing the channel estimation, then the correlation of the pilots defined by the inner product p T i p j should be considered, as these values determine the extent of the linear dependency which strongly influences the performance of such adaptive filtering algorithms. Thus, in order to achieve the fastest convergence in such algorithms, orthogonal pilots should be employed, i.e., p T i p j = 0 for appropriate i and j values (i = j).…”

Section: Proposed Bwsn System Modelmentioning

confidence: 99%

A fast energy-aware multi-target detection technique using binary wireless sensors

Ghofrani

Schmeink

2017

2017 International Symposium on Wireless Communication Systems (ISWCS)

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Abstract-The paper proposes a fast multi-target detection technique based on simultaneous sensor data fusion for a binary wireless sensor network in a pre-deployed configuration. The synchronous binary sensors are circularly arranged in an area with the sink node on the central axis such that the line-ofsight communication dominates. All the binary sensors employed for detecting rapidly changing targets are similar, transmit simultaneously and operate on the same narrow frequency band without any specific ID assigned by a central control unit or the sink node, where the latter is affected by additive white Gaussian noise (AWGN). Each sensor is assumed to cover a previously known zone for target detection and it has no cooperation with other sensors. The proposed communication model including the channel estimation process and the devised distributed power allocation method, is mathematically described and the conducted simulations comprehensively confirm the good performance of the model with respect to the channel estimation and equalization errors at the transmitter and the AWGN power at the receiver.

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Section: Proposed Bwsn System Modelmentioning

confidence: 99%