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Design of an ADALINE Adaptive Filter Based Noise Cancellation Based on Fine-grained Pipelines
Nattha Jindapetch,Pornchai Phukpattaranont,Krerkchai Thongnoo 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this paper, a design of an ADALINE adaptive filter based noise cancellation based on fine-grained pipelines is presented. The circuit is implemented from 32-bit floatingpoint arithmetic function units which are partitioned into proper fine-grained pipeline stages. Fine-grained pipeline resource-sharing is performed to minimize the circuit size. The ADALINE adaptive filter is implemented on an FPGA (Xilinx SPARTAN-3 XC3S400) to perform power line noise reduction. The performance is also evaluated. The proposed fine-grained pipelines implementation archived much higher throughput than the implementation on a commercial DSP chip, and two times higher than the normal pipeline implementation.
Apidet Booranawong,Nattha Jindapetch,Hiroshi Saito 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.5
In this paper, an experimental evaluation of received signal strength indicator (RSSI-based) localization methods in an indoor wireless network is studied. The major contributions of this work are twofold. First, the well-known and widely used min–max and trilateration methods are tested in the cases of without and with human movement eff ects. By this purpose, how RSSI data during human movements aff ect the accuracy of such methods and which method shows the best position estimation result, have been investigated. Second, we also design and develop a new RSSI fi lter to automatically reduce RSSI variation and the position estimation error caused by human movements. Experiments are carried out in a parking building. An LPC2103F microcontroller interfaced with a CC2500 RF transceiver as a low-cost, low power, 2.4 GHz radio module is used as a wireless node. Results demonstrate that without human movement eff ects, the performances by both localization methods are not much diff erent. However, with human movement eff ects, the min–max method shows better accuracy than the trilateration method in handling the RSSI variation problem. The results also indicate that by applying the proposed RSSI fi lter, it can directly cope with the RSSI variation problem caused by humans. The localization error decreases by 69.87% for the case of the min–max method, and it decreases by 72.74% for the case of the trilateration method (the best case). Compared with the case of employing the moving average fi lter as the commonly used fi lter, the localization error only decreases by 18.67% and 12.99%, respectively.
Apidet Booranawong,Kiattisak Sengchuai,Nattha Jindapetch,Hiroshi Saito 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.4
In this paper, an extended weighted centroid localization (EWCL) method for a received signal strength indicator (RSSI)- based localization system is proposed. In the traditional WCL method, an unknown target position is estimated using the actual position of each reference node and RSSI information collected from each reference node based on the distance between the target and each reference node. The estimation accuracy is signifcantly increased when more reference nodes are applied in the localization system. In addition, in the traditional WCL method, four reference nodes deployed in a square area are initialized and tested. Such a confguration produces good localization results. By this information, in this work, the EWCL method is developed to estimate a target’s position taking into consideration information from four reference nodes, where only three actual reference nodes are deployed in a real test area. Here, the fourth reference node position as the virtual reference node position is defned, and a new technique involving a guideline solution is developed to estimate the distance between the target and the fourth reference node using distance information from the three actual reference nodes. By our purpose, the hardware cost and the complexity of the experimental setup can be reduced, while the estimation accuracy can be increased. To verify the EWCL method, both theoretical and experimental studies are performed. The theoretical study frst demonstrates the EWCL performance without the efect of radio signals. The experimental study using low-cost lowpower 2.4 GHz nodes deployed in a semi-outdoor test area reveals more realistic results. The results indicate that the EWCL method signifcantly outperforms the WCL method in all test cases. The localization error is reduced by 49.151% in the theoretical test. In the experimental test, the localization errors are reduced by 33.708 and 28.351% for scenarios without and with a human presence, respectively.
Performance Study of Clustering Self-Reconfiguring Algorithm for Wireless Sensor Networks
Dujdow Buranapanichkit,Fatima Chopngam,Thradon Wattananavin,Nattha Jindapetch 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
This paper presents the energy efficient clustering reconfiguration algorithm for wireless sensor networks. The goal of this proposed scheme is to consume the resources of wireless sensor node efficiently. Similarly, it can help to extend the network lifetime of sensor networks. We propose the clustering self-reconfiguring using sleep mode and transmit power adjustment for WSNs. Our implementation makes the clustering reconfiguration on real environment for consideration of the constraint and competency of wireless sensor network. We will compare the network lifetime between the clustering system for WSNs and the clustering reconfiguration. This study describes the ability of algorithms improves the energy efficient in sensor networks