• Title/Summary/Keyword: Received Signal Power

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Development of Position Awareness Algorithm Using Improved Trilateration Measurement Method (개선된 삼변측량법을 이용한 위치인지 알고리즘 개발)

  • Sohn, Jong-Hoon;Hwang, Gi-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.2
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    • pp.473-480
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    • 2013
  • In this paper, location recognition algorithm is developed to improve the accuracy using improve Trilateration. The location recognition algorithm is first calculate the location refer to the measured signal power. Error can be occurred when measure distance with arranged node in specific location. If the distance data is received from node (receiver, coordinator), Node selected for location calculation is defined through section. If the distance data is received from node (receiver, coordinator), Node selected for location calculation is defined through section. Second, we apply algorithm of section filtering. If there are 4 sections in node, we consider 1 section to 6 location recognition coordinates. A special characteristic drawback of RF is that the actual distance is actually farther than the calculated received distance data. This is error is incurred when the signal strength increases. We reduce the location recognition error by applying an improved algorithm as secondary after filtering primary through section filtering.

Indoor Location Estimation and Navigation of Mobile Robots Based on Wireless Sensor Network and Fuzzy Modeling (무선 센서 네트워크와 퍼지모델을 이용한 이동로봇의 실내 위치인식과 주행)

  • Kim, Hyun-Jong;Kang, Guen-Taek;Lee, Won-Chang
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.163-168
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    • 2008
  • Navigation system based on indoor location estimation is one of the core technologies in mobile robot systems. Wireless sensor network has great potential in the indoor location estimation due to its characteristics such as low power consumption, low cost, and simplicity. In this paper we present an algorithm to estimate the indoor location of mobile robot based on wireless sensor network and fuzzy modeling. ZigBee-based sensor network usually uses RSSI(Received Signal Strength Indication) values to measure the distance between two sensor nodes, which are affected by signal distortion, reflection, channel fading, and path loss. Therefore we need a proper correction method to obtain accurate distance information with RSSI. We develop the fuzzy distance models based on RSSI values and an efficient algorithm to estimate the robot location which applies to the navigation algorithm incorporating the time-varying data of environmental conditions which are received from the wireless sensor network.

Localization of primary user for cognitive radios based on estimation of path-loss exponent (인지무선시스템을 위한 전송 손실 지수 추정 기반의 기 사용자 위치 검출 기법)

  • Anh, Hoang;Koo, Insoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.5
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    • pp.55-63
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    • 2013
  • In cognitive radio networks, acquirement of position information of primary user is very important to secondary network since localization information of primary users can be utilized for improving the spectrum efficiency of secondary network and for avoiding harmful interference to primary users by using proper power control. Among various location methods, Received Signal Strength (RSS)-based localization has been widely used for distance measurements in the location detection process despite its inherent inaccuracy because it can be easily implemented without any additional hardware cost. In the RSS-based localization, the distance is measured by the received signal strength, and distance error can be caused by many factors such as fading, shadowing and obstacle between two nodes. In the paper, therefore we propose a localization scheme based on estimation of path-loss exponent to localize the location of primary users more accurately. Through simulations, it is shown that the proposed scheme can provide less localization error and interference rate to primary users than other schemes.

GPS Accuracy Revision Using RSSI and AoA in Wireless Sensor Network (무선 센서 네트워크에서 RSSI와 AoA를 활용한 GPS 정밀도 향상 방안)

  • Cho, Hae-Min;Kwon, Tae-Wook
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.889-896
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    • 2022
  • Data required in a wireless sensor network environment requires more accurate figures as technology advances and its complexity increases. However, in the case of operating a large number of sensor nodes in a large area, the balance between the power consumed and the data quality that can be acquired accordingly should be considered for that purpose. In particular, in complex, densely populated urban areas or military operations with specific goals, location data requires increasingly detailed and high accuracy over a wide range. In this paper, we propose a method of mounting a Global Positioning System(: GPS) only on some of the sensor nodes deployed in the wireless sensor network and improving the error of GPS location data measured on that sensor node through Angle of Arrival(: AoA) and Received Signal Strength Indicator(: RSSI).

Efficient ICI Self-Cancellation Scheme for OFDM Systems

  • Kim, Kyung-Hwa;Seo, Bangwon
    • ETRI Journal
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    • v.36 no.4
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    • pp.537-544
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    • 2014
  • In this paper, we present a new inter-carrier interference (ICI) self-cancellation scheme - namely, ISC scheme - for orthogonal frequency-division multiplexing systems to reduce the ICI generated from phase noise (PHN) and residual frequency offset (RFO). The proposed scheme comprises a new ICI cancellation mapping (ICM) scheme at the transmitter and an appropriate method of combining the received signals at the receiver. In the proposed scheme, the transmitted signal is transformed into a real signal through the new ICM using the real property of the transmitted signal; the fast-varying PHN and RFO are estimated and compensated. Therefore, the ICI caused by fast-varying PHN and RFO is significantly suppressed. We also derive the carrier-to-interference power ratio (CIR) of the proposed scheme by using the symmetric conjugate property of the ICI weighting function and then compare it with those of conventional schemes. Through simulation results, we show that the proposed ISC scheme has a higher CIR and better bit error rate performance than the conventional schemes.

Modelling and Simulation of Glint and RCS of Complex Target (복잡한 목표물의 Glint와 RCS 모델링 및 시뮬레이션)

  • Song, Seungeon;Shin, Han-Seop;Kim, Dae-Oh;Kang, Chul-Ung;Ko, Seokjun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.12 no.1
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    • pp.27-34
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    • 2017
  • The signal transmitted from radar is not reflected from a single point when the signal reflected by complex target. Resultantly, the amplitude and phase of the received signal can be changed because the target has lots of scatterers. The changes of the amplitude and the phase mean Glint and RCS, respectively. Although the Glint and RCS that caused by the same scatters are uncorrelated, however, they are not independent completely. Therefore, this paper proposes a method for generating the Glint and RCS by using same random number generator. And the time correlations of the Glint and RCS are respectively implemented in frequency domain by using each power spectral density of them.

Reference Particles-based LTE Base Station Positioning

  • Cho, Seong Yun;Kwon, Jae Uk
    • Journal of Positioning, Navigation, and Timing
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    • v.10 no.3
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    • pp.207-214
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    • 2021
  • A new positioning technique for positioning of LTE base stations is proposed. The positioning information of the base station is absolutely necessary for model-based wireless positioning, and is required in some of the various merhodologies for estimating signals in an uncorrected area when construnting a database for fingerprinting-based positioning. Using the acquired location-based Reference Signal Received Power (RSRP) information to estimate the location of the base station, it is impossible with the existing trilateration methods. Therefore, in this paper, a method using reference particles is proposed. Particles are randomly generated in the application area, and signal propagation modeling is performed assuming that a base station is located in each particle. Based on this, the errors of measurements are calculated. The particle group with the minimum measurement errors is selected, the position of the base station is estimated through weighted summation, and the signal propagation model of the corresponding base station is built at the same time. The performance of the proposed technology is verified using data acquired in Seocho-dong, Seoul.

Comparison of RF Signal Performance According to Obstacle Type of Low Power Sub-1GHz Frequency Signal (저전력 저주파수 신호의 장애물 종류에 따른 RF 신호 성능 비교)

  • Sung-Hoon Jo;Se-Hee Park;Gu-In Kwon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.167-168
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    • 2023
  • 본 논문에서는 저전력 433MHz 주파수 RF 신호가 여러 종류의 벽을 투과할 시 신호에 일어나는 감쇠를 비교한다. 국내에서 기존의 와이파이, 블루투스 같은 고주파수 대역의 RF 신호에 관한 연구 및 실험은 많이 행해지었지만, 한국의 전파 관리법에 의해 성능이 제한된 비면허 주파수인 433MHz 대역의 RF 신호에 관한 연구는 매우 적게 이루어져 있다. 이러한 저주파수 대역 신호의 가장 큰 장점은 장거리 통신에 능하고 벽 투과특성이 뛰어나다는 것이다. 본 논문에서는 실험을 통해 433MHz 대역 RF 신호가 여러 종류의 장애물을 통과 시 신호 세기가 어떻게 변하는지 각각 비교하고 이를 통해 비가시 영역에서 저전력 주파수 통신의 사용 가능성을 확인한다.

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A Novel Channel Estimation Method for Downlink Wideband CDMA Mobile Communication Systems (하향링크 광대역 CDMA 이동통신 시스템을 위한 새로운 채널추정 방법)

  • 임민중
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.40 no.4
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    • pp.1-9
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    • 2003
  • Many CDMA systems provide pilot channels in order to help channel estimation process. Especially in wideband CDMA systems, the number of receive diversity paths can be large due to small chip duration and high multi-path resolution capability. Hence, the received signal power of each path is small for a given total SNR (signal-to-noise ratio) and the pilot power of each path may not be sufficiently large for accurate channel estimation. When the pilot power is small, one can use decision-directed channel estimation to utilize more energy of the received data. However, the decision errors can deteriorate the quality of decision-directed channel estimation. This paper proposes a novel channel estimation method that optimally utilizes receiver decisions as well as pilot symbols with the help of estimated SER (symbol error rate) and SNR. The proposed method computes two channel estimates using the pilot and the data channel filters and optimally combines them. The simulation results show that the proposed method is robust and outperforms the conventional pilot-symbol-aided channel estimation method.

Symbol Error Rate Analysis for Fixed Multi-User Superposition Transmission in Rayleigh Fading Channels (레일레이 페이딩 채널에서 고정적 다중사용자 중첩 전송에 대한 심벌 오차율 성능 분석)

  • Lee, In-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.10
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    • pp.1379-1385
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    • 2018
  • In the conventional multi-user superposition transmission, the power allocation coefficients of data symbols and the received signal processing of users are determined by the condition of instantaneous channel powers. However, the use of instantaneous channel powers can increase the system complexity. Hence, we consider fixed multi-user superposition transmission using average channel powers. The fixed multi-user superposition transmission can reduce the system complexity because it uses the condition of average channel powers that slowly change over time in order to decide the power allocation coefficients and the received signal processing. In this paper, we analyze the average symbol error rate for the fixed multi-user superposition transmission. In particular, an expression for the average symbol error rate of M-ary Quadrature Amplitude Modulation is derived assuming Rayleigh fading channels. In addition, through the numerical results, we show that the conventional and fixed multi-user superposition transmissions achieve the similar average symbol error rate performances at the user in the severe channel condition.