347 research outputs found

    처프 신호를 이용한 음파 통신 기법 연구

    Get PDF
    학위논문 (박사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2014. 8. 최성현.Todays smart devices such as smartphones and tablet/wearable PCs are equipped with voice user interface (UI) in order to support intuitive command input from users. Speakers and microphones of the voice UI are generally used to play and record human voice and/or environmental sound, respectively. Accordingly, various aerial acoustic communication techniques have been introduced to utilize the voice UI as an additional communication interface beyond WiFi and/or Bluetooth. Smart devices are especially suitable for the aerial acoustic communication since the application processor (AP) of smart devices can process the sound to embed or fetch information in it. That is, smart devices work similar to software defined radio platform. The aerial acoustic communication is also very versatile as any audio interface can be utilized as a communication interface. In this dissertation, we propose an aerial acoustic communication technique using inaudible chirp signal as well as corresponding receiver architecture for smart devices. We additionally introduce the applications of the proposed communication technique in indoor environments. We begin the receiver design for aerial acoustic communication by measuring the characteristics of indoor acoustic channel, composed of speaker, air-medium, and microphone. Our experimental research reveals that the indoor acoustic channel typically has long delay spread (approximately 40 msec), and it is very frequency-selective due to the frequency response of audio interfaces. We also show that legacy physical layer (PHY) modulation schemes such as phase/frequency shift keying (PSK/FSK) are likely to fail in this indoor acoustic channel, especially in long communication scenarios, due mainly to the instability of local oscillator and frequency selectivity of audio interfaces. In order to resolve the above-mentioned problems, we use chirp signals for the aerial acoustic communication. The proposed acoustic receiver supports long-range communication independent of the device characteristics over the severely frequency-selective acoustic channel with large delay spread. The chirp signal has time-varying frequency with a specific frequency sweeping rate. The chirp signal was widely used for radar applications due to its capability of resolving multi-path propagation. However, this dissertation is the first study of adopting chirp signal in aerial acoustic communications for smart devices. The proposed receiver architecture of chirp binary orthogonal keying (BOK) can be easily implemented via fast Fourier transform (FFT) in smart devices application layer. Via extensive experimental results, we verify that the proposed chirp signal can deliver data at 16 bps up to 25 m distance in typical indoor environments, which is drastically extended compared to the few meters of previous research. The data rate of 16 bps is enough to deliver short identification (ID) in indoor environments. The exemplary applications with this short ID can be multimedia content recognition and indoor location tracking. The low data rate, however, might be a huddle of the proposed system to be applied to the services that require high data rate. We design a backend server architecture in order to compensate for the low data rate and widen the application extent of the proposed receiver. The smart devices can send queries in order to refer to the backend server for additional information that is related with the received ID. We also propose an energy-efficient recording and processing method for the acoustic signal detection. Note that it would consume huge amount of energy if the smart devices contiguously sensed the acoustic signal for 24 hours. The smart devices instead control the sensing (i.e., recording) timing so that it is activated only when there exists chirp signal. This can drastically extend the battery lifetime by removing unnecessary signal processing. We also present two application examples of the proposed receiver, namely, (1) TV content recognition, and (2) indoor location tracking, including technical discussions on their implementations. Experiments and field tests validate the feasibility of the proposed aerial acoustic communication in practical environments.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Acoustic communication . . . . . . . . . . . . . . . . . 1 1.1.1 Underwater acoustic communication . . . . . 2 1.1.2 Aerial acoustic communication . . . . . . . . . . 3 1.2 Overview of Existing Approaches . . . . . . . . . . . 5 1.2.1 Indoor Location Tracking . . . . . . . . . . . . . . . 5 1.2.2 Data Communication using Acoustic Signal . 7 1.2.3 Commercial Services . . . . . . . . . . . . . . . . . . 9 1.2.4 Limitations of Previous Work . . . . . . . . . . . 10 1.3 Main Contributions . . . . . . . . . . . . . . . . . . . . . 11 1.3.1 Acoustic Channel and PHY Analysis . . . . . . 12 1.3.2 Receiver Design for Acoustic Chirp BOK . . . 12 1.3.3 Applications of Chirp BOK Receiver . . . . . . 13 1.4 Organization of the Dissertation . . . . . . . . . . 13 2 Acoustic Channel and PHY Analysis . . . . . . . . . . 15 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2 Characteristics of Indoor Acoustic Channel . . 18 2.2.1 Hearing Threshold of Human . . . . . . . . . . . 18 2.2.2 Frequency Response of Various Audio Interfaces . 21 2.2.3 Delay Spread of Acoustic Channel . . . . . . . . 25 2.3 Revisit of Existing Modulation Schemes . . . . . . 26 2.3.1 Case Study: Phase Shift Keying . . . . . . . . . . 28 2.3.2 Case Study: Frequency Shift Keying . . . . . . . 35 2.3.3 Chirp Binary Orthogonal Keying (BOK) . . . . 40 2.4 Performance Evaluation of PHY Modulation Schemes . 42 2.4.1 Experimental Environment . . . . . . . . . . . . . . 44 2.4.2 PSK Demodulator . . . . . . . . . . . . . . . . . . . . . 44 2.4.3 FSK Demodulator . . . . . . . . . . . . . . . . . . . . . 45 2.4.4 BER of PHY Modulation Schemes . . . . . . . . . 46 2.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 3 Receiver Design for Acoustic Chirp BOK . . . . . . . 49 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 3.2 Chirp Signals and Matched Filter Receiver . . . . . 51 3.2.1 Notation of Chirp Signals . . . . . . . . . . . . . . . 51 3.2.2 Matched Filter and FFT . . . . . . . . . . . . . . . . . 53 3.2.3 Envelope Detection of Chirp Auto Correlation . 55 3.3 System Design and Receiver Architecture . . . . . . 59 3.3.1 Frame and Symbol Design . . . . . . . . . . . . . . . 60 3.3.2 Signal Reception Process . . . . . . . . . . . . . . . . 63 3.3.3 Receiver Architecture . . . . . . . . . . . . . . . . . . . 65 3.3.4 Symbol combining for BER enhancement . . . . 68 3.4 Performance Evaluation of Chirp BOK Receiver . . 73 3.4.1 Experimental Environment . . . . . . . . . . . . . . . . 74 3.4.2 Transmission Range in Indoor Environment . . . 74 3.4.3 Multi-path Resolution Capability of Chirp Signal . 75 3.4.4 Symbol Sampling and Doppler Shift . . . . . . . . . 82 3.4.5 Selective combining . . . . . . . . . . . . . . . . . . . . . 85 3.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 4 Applications of Chirp BOK Receiver . . . . . . . . . . . . . . 90 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 4.2 Backend Server Architecture . . . . . . . . . . . . . . . . . . 93 4.2.1 Implementation of Backend Server . . . . . . . . . . 93 4.2.2 Operation of Backend Server . . . . . . . . . . . . . . 95 4.3 Low Power Operation for Smart Devices . . . . . . . . 98 4.3.1 Reception Process of Chirp BOK receiver . . . . . . 98 4.3.2 Revisit of Signal Detection in Wireless Communications ... 100 4.3.3 Chirp Signal Detection using PSD . . . . . . . . . . . 102 4.3.4 Performance Evaluation of Signal Detection Algorithm . 105 4.4 Applications of Chirp BOK Receiver and Feasibility Test . . 110 4.4.1 TV Content Recognition . . . . . . . . . . . . . . . . . . . 111 4.4.2 Indoor Location Tracking in Seoul Subway . . . . . 114 4.4.3 Device to Device Communication . . . . . . . . . . . . 118 4.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 5 Conclusion and Future Work . . . . . . . . . . . . . . . . . . . 123 5.1 Research Contributions . . . . . . . . . . . . . . . . . . . . . . 123 5.2 Future Work and Concluding Remark . . . . . . . . . . 125 Abstract (In Korean) . . . . . . . . . . . . . . . . . . . . . . . . 136Docto

    Proposal of a health care network based on big data analytics for PDs

    Get PDF
    Health care networks for Parkinson's disease (PD) already exist and have been already proposed in the literature, but most of them are not able to analyse the vast volume of data generated from medical examinations and collected and organised in a pre-defined manner. In this work, the authors propose a novel health care network based on big data analytics for PD. The main goal of the proposed architecture is to support clinicians in the objective assessment of the typical PD motor issues and alterations. The proposed health care network has the ability to retrieve a vast volume of acquired heterogeneous data from a Data warehouse and train an ensemble SVM to classify and rate the motor severity of a PD patient. Once the network is trained, it will be able to analyse the data collected during motor examinations of a PD patient and generate a diagnostic report on the basis of the previously acquired knowledge. Such a diagnostic report represents a tool both to monitor the follow up of the disease for each patient and give robust advice about the severity of the disease to clinicians

    Feasibility and Security Analysis of Wideband Ultrasonic Radio for Smart Home Applications

    Get PDF
    Smart home Internet-of-Things (IoT) accompanied by smart home apps has witnessed tremendous growth in the past few years. Yet, the security and privacy of the smart home IoT devices and apps have raised serious concerns, as they are getting increasingly complicated each day, expected to store and exchange extremely sensitive personal data, always on and connected, and commonly exposed to any users in a sensitive environment. Nowadays wireless smart home IoT devices rely on electromagnetic wave-based radio-frequency (RF) technology to establish fast and reliable quality network connections. However, RF has its limitations that can negatively affect the smart home user experience and even cause serious security issue, such as crowded spectrum resources and RF waves leakage. To overcome those limitations, people have to use technology with sophisticated time and frequency division management and rely on the assumptions that the attackers have limited computational power. In this thesis we propose URadio, a wideband ultrasonic communication system, using electrostatic ultrasonic transducers. We design and develop two different types of transducer membranes using two types of extremely thin materials, Aluminized Mylar Film (AMF) and reduced Graphene Oxide (rGO), for assembling transducers, which achieve at least 45 times more bandwidth than commercial transducers. Equipped with the new wideband transducers, an OFDM communication system is designed to better utilize the available 600 kHz wide bandwidth. Our experiments show that URadio can achieve an unprecedentedly 4.8 Mbps data rate with a communication range of 17 cm. The attainable communication range is increased to 31 cm and 35 cm with data rates of 1.2 Mbps and 0.6 Mbps using QPSK and BPSK, respectively. Although the current wideband system only supports short-range communication, it is expected to extend the transmission range with better acoustic engineering. Also, by conducting experiments to measure the ultrasonic adversaries\u27 eavesdropping and jamming performance, we prove that our system is physically secure even when exchanging plaintext data. Adviser: Qiben Ya

    US Army remotely piloted vehicle supporting technology program

    Get PDF
    Essential technology programs that lead to the full scale engineering development of the Aquila Remotely Piloted Vehicle system for U.S. Army are described. The Aquila system uses a small recoverable and reusable RPV to provide target acquisition, designation, and aerial reconnaissance mission support for artillery and smart munitions. Developments that will provide growth capabilities to the Aquila RPV system, as well as future RPV mission concepts being considered by the U.S. Army are presented
    corecore