Tham khảo tài liệu 'adaptive filtering applications part 12', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 322 Adaptive Filtering Applications PATH II FILTER NAME AVG. ERROR MAX ERROR RSSI FILTER LQI FILTER FUSION FILTER BOTH FILTER 1 Non filter Avg. RDC. of Avg. Error 33 Avg. RDC. of Avg. Error 50 Avg. RDC. of Avg. Error 41 Avg. RDC. of Avg. Error 49 Avg. RDC. of Avg. Error 49 Avg. RDC. of Avg. Error 62 Avg. RDC. of Avg. Error 56 Avg. RDC. of Avg. Error 68 RSSI Filter LQI Filter Fusion Filter BOTH filter 2 Non filter RSSI Filter LQI Filter Fusion Filter BOTH filter 3 Non filter RSSI Filter LQI Filter Fusion Filter BOTH filter Table 3. Error reduction comparison of RSSI filter Fusion filter proposed LQI filter and BOTH filter such beneficial technology. The security measures to provide Confidentiality and Integrity have been taken into account in the design of such technology. This chapter investigates the use of RF location systems for indoor domestic applications. Based on the assumption low cost and minimal infrastructure are important for consumers the concept of RF location system for Integrated In-door Location Using RSSI and LQI provided by ZigBee module is introduced. This chapter addresses the problem of tracking an object. This chapter discuss about how to overcome the problems in the existing methods calculating the distance in indoor environment. This chapter has presented a new Mathematical Method for reducing the error in the location identification due to interference within the infrastructure based sensor Adaptive Filtering for Indoor Localization using ZIGBEE RSSI and LQI Measurement 323 network. The proposed Mathematical Method calculates the distance using LQI and RSSI predicted based on the previously measured values. The calculated distance corrects the error induced by interference. The experimental results show that the proposed Mathematical
