Improved Adaptive Smoothing Filter for Indoor Localization Using RSSI
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초록
In the indoor location estimation system, which has recently been actively studied, the received signal strength indicatorcontains a high level of noise when measuring the signal strength in the range between two nodes consisting of a receiver and atransceiver. To minimize the noise level, this paper proposes an improved adaptive smoothing filter that provides differentexponential weights to the current value and previous averaged one of the data that were obtained from the nodes, because thecharacteristic signal attenuation of the received signal strength indicator generally has a log distribution. The proposed method caneffectively decrease the noise level by using a feedback filter that can provide different weights according to the noise level of theobtained data and thus increase the accuracy in the distance and location without an additional filter such as the link quality indicator,which can verify the communication quality state to decrease the range errors in the indoor location recognition using ZigBee basedon IEEE 802.15.4. For verifying the performance of the proposed improved adaptive smoothing filter, actual experiments areconducted in three indoor locations of different spatial sections. From the experimental results, it is verified that the proposedtechnique is superior to other techniques in range measurement.
Abstract
In the indoor location estimation system, which has recently been actively studied, the received signal strength indicatorcontains a high level of noise when measuring the signal strength in the range between two nodes consisting of a receiver and atransceiver. To minimize the noise level, this paper proposes an improved adaptive smoothing filter that provides differentexponential weights to the current value and previous averaged one of the data that were obtained from the nodes, because thecharacteristic signal attenuation of the received signal strength indicator generally has a log distribution. The proposed method caneffectively decrease the noise level by using a feedback filter that can provide different weights according to the noise level of theobtained data and thus increase the accuracy in the distance and location without an additional filter such as the link quality indicator,which can verify the communication quality state to decrease the range errors in the indoor location recognition using ZigBee basedon IEEE 802.15.4. For verifying the performance of the proposed improved adaptive smoothing filter, actual experiments areconducted in three indoor locations of different spatial sections. From the experimental results, it is verified that the proposedtechnique is superior to other techniques in range measurement.
참고문헌 (31)
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