Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs (data). Interest in these methods has exploded in recent years, with numerous applications emerging in fields such as navigation, aerospace engineering, telecommunications, and medicine. This compact, informal introduction for graduate students and advanced undergraduates presents the current state-of-the-art filtering and smoothing methods in a unified Bayesian framework. Readers learn what non-linear Kalman filters and particle filters are, how they are related, and their relative advantages and disadvantages. They also discover how state-of-the-art Bayesian parameter estimation methods can be combined with state-of-the-art filtering and smoothing algorithms. The book’s practical and algorithmic approach assumes only modest mathematical prerequisites. Examples include MATLAB computations, and the numerous end-of-chapter exercises include computational assignments. MATLAB/GNU Octave source code is available for download at www.cambridge.org/sarkka, promoting hands-on work with the methods.

贝叶斯滤波与平滑 (Bayesian filtering and smoothing)

A Message Storage and Deliver System (MSDS) is connected to the public switched telephone network (PSTN) and receives incoming calls with these calls being facsimile, voice, or data transmissions. The MSDS detects the type of call and stores the message signal in a database. The MSDS is also connected to the Internet and has a hyper-text transfer protocol deamon (HTTPD) for receiving requests from users. The HTTPD forwards requests for certain files or messages to a network server which transmits at least part of the message to the HTTPD and then to the user. In addition to requests for certain documents, the HTTPD may also receive a request in the form of a search query. The search query is forwarded from the HTTPD to an application program for conducting the search of the database. The results of the search are forwarded through the HTTPD to the user. The user may then select one or more files or messages from the search results and may save the search for later reference.

Systems and methods for storing, delivering, and managing messages

A digital broadcasting system and a method of processing data are disclosed, which are robust to error when mobile service data are transmitted. To this end, additional encoding is performed for the mobile service data, whereby it is possible to strongly cope with fast channel change while giving robustness to the mobile service data.

Digital broadcasting system and data processing method

Fixing device includes a first cylindrical rotating member having an inner peripheral surface and an outer peripheral surface; a second rotating member which is brought into contact with the first rotating member; magnetic field generation units for generating a magnetic field, the magnetic field generation units being provided at a predetermined distance from the inner or outer peripheral surface of the first rotating member; and a heat generation member that generates heat by a magnetic field, the heat generation member being provided so as to be opposed to the magnetic field generation units across the first rotating member and to be in contact with the first rotating member, having a thickness larger than a skin depth, and containing a magnetic metal material.

Fixing device, and image forming apparatus

A digital broadcasting system and a data processing method are disclosed. The method includes receiving a data processing method includes receiving a broadcast signal in which main service data and mobile service data are multiplexed, acquiring transmission-parameter-channel signaling information including transmission parameter information of the mobile service data, and fast-information-channel signaling information, acquiring binding information describing a relationship between at least one ensemble transferring the mobile service data and a first virtual channel contained in the at least one ensemble by decoding the fast-information-channel, and acquiring status information of the first virtual channel, displaying content data contained in the mobile service data according to the binding information and the status information of the first virtual channel.

Digital broadcasting system and method of processing data in digital broadcasting system

A traffic channel transmission device for a CDMA communication system using a plurality of coding rates and orthogonal codes, determines a present channel condition and adaptively selects a coding rate and an orthogonal code according to the determination. In the device, a channel receiver receives a channel signal and a controller analyzes the received signal to decide an environment of a channel in service and generates a coding rate select signal and orthogonal code information according to the decision result. A channel transmitter includes a channel encoder (311, 312) for encoding transmission data at a coding rate selected according to the coding rate select signal (Csel) and an orthogonal modulator (361, 362) for generating an orthogonal code according to the orthogonal code information to spread the encoded data with the generated orthogonal code, whereby the channel transmitter adaptively encodes and spreads the transmission data according to the channel environment. The orthogonal code information includes a number and a length of the orthogonal code.

Rate control device and method for cdma communication system

Detecting and classifying the modulation scheme of the intercepted noisy low probability of intercept (LPI) radar signals in real time is a necessary survival technique required in the electronic warfare systems. Therefore, LPI radar waveform recognition technique (LWRT) has gained an increasing attention recently. In this paper, we propose a convolutional neural network (CNN)-based LWRT, where the input and hyperparameters of the CNN, such as the input size, number of filters, filter size, and number of neurons are designed based on various signal conditions to guarantee the maximum classification performance. In addition, we propose a sample averaging technique to efficiently reduce the large computational cost required when the intercept receiver needs to process a large amount of signal samples to improve the detection sensitivity. We demonstrate the performance of the proposed LWRT with numerous Monte Carlo simulations based on the simulation conditions used in the recent LWRTs introduced in the literature. It is testified that the proposed LWRT offers significant improvement, such as robustness to noise and recognition accuracy, over the recent LWRTs.

Automatic LPI Radar Waveform Recognition Using CNN

A device and method for locating a mobile station (MS) in a mobile communication system. In the MS locating device, a first antenna and a second antenna of a base station (BS) are spaced from each other by a distance equivalent to a wavelength of an MS transmission channel multiplied by a predetermined coefficient, such as one half. A first frequency downconverter and a second frequency downconverter convert signals received from the first and second antennas to baseband signals and digitize the baseband signals to chip sample data. A first channel demodulator and a second channel demodulator recover the chip sample data received from the first and second frequency downconverters and output information about the symbol start and PN code of a specific MS signal. A controller outputs a PN code for identifying the specific MS and finger position information based on the symbol start and PN code information received from the first and second demodulators. In addition, the controller may be supplied with orthogonal code information from the demodulator; in this case, the controller will output information concerning the specific Walsh code. A symbol data extractor extracts two symbols of the specific MS from the chip sample data received from the first and second frequency downconverters based on the PN code and finger position information. An incident angle estimator estimates the incident angle of the received signal from the phase difference between the extracted two symbols. A location estimator estimates the location of the specific MS based on the estimated incident angle and the round trip delay (RTD) measured for the MS.

Device and method for locating a mobile station in a mobile communication system

A mobile station positioning system and method is disclosed wherein a mobile station receives signals synchronized and transferred from at least three neighboring base stations at a predetermined time including the steps of performing a forward transmission power control at the neighboring base stations; calculating, at the mobile station, arrival time differences between two of the signals received from the neighboring base stations and transmitting them to the serving base station to estimate the position of the mobile station. The mobile station positioning system includes at least three neighboring base stations for transmitting signals synchronized at a predetermined time and controlling forward transmission power of the signals during a scheduled time interval; a mobile station calculating arrival time differences between two of the signals received from the neighboring base stations; and a serving base station included in the neighboring base stations for receiving the arrival time differences from the mobile station and determining a position of the mobile station.

Mobile station positioning system and method in mobile communication system

In the cold start of a Global Navigation Satellite Systems (GNSS) receiver, fast acquisition of the GNSS signal requires either an extensive usage of hardware resources for massive parallel correlators or a high computational complexity for fast Fourier transform (FFT) and inverse FFT operations. Because GNSS uses direct-sequence spread spectrum (DSSS) signaling with binary phase-shift keying (BPSK) or with BPSK and binary offset carrier, any GNSS signal can have a sparse representation so that the concept of compressed sensing can be applied to detect GNSS signals. To achieve a fast acquisition of the GNSS signal with a reduced number of correlators and low computational complexity, we propose a two-stage deterministic compressed GNSS acquisition technique using the Walsh-Hadamard matrix. The proposed technique makes fast acquisition possible for a receiver using a much smaller number of correlators than the conventional parallel-correlator-based technique, which requires much less computational complexity than the FFT-based technique. We provide complexity analysis of the proposed technique and compare the statistical performance of the proposed technique with other techniques applicable to the fast GNSS acquisition. The proposed technique is easy to implement and is the first compressed-sensing-based GNSS acquisition technique.

Seung-Hyun Kong

Papers

Rate control device and method for cdma communication system

Automatic LPI Radar Waveform Recognition Using CNN

Device and method for locating a mobile station in a mobile communication system

Mobile station positioning system and method in mobile communication system

A Deterministic Compressed GNSS Acquisition Technique