Abstract:
An adaptive filter and method for detecting an optimum spectrum, and a spectrum detection apparatus using the same and a method thereof are provided to detect a spectrum by using an adaptive filter for reducing a noise under a time variable environment. An adaptive filter for detecting an optimum spectrum includes a data vector calculation unit(11), a coefficient vector calculation unit(12), an average calculation unit(13), and a convolutional calculation unit(14). The data vector calculation unit calculates a data vector of p-dimension from an input signal based on a degree of a predetermined adaptive filter. The coefficient vector calculation unit calculates a coefficient vector based on the data vector calculated by the data vector calculation unit. The average calculation unit calculates an average of the coefficient vector calculated by the coefficient vector calculation unit. The convolutional calculation unit calculates a convolution of the input signal and the average of the coefficient vector calculated by the average calculation unit.
Abstract:
The present invention relates to an apparatus and a method for compressing a signal in dynamic compressive sensing, wherein the apparatus comprises a signal inputting part for outputting an input signal, and, concurrently, generating and outputting a linear measurement reference signal based on the input signal; a linear deforming part for receiving the linear measurement reference signal and variably generating a linear measurement matrix value according to the linear measurement reference signal; a signal compressing part for outputting a compressed signal for the input signal based on the generated linear measurement matrix value; and a signal processing part for restoring the compressed signal and performing spectrum sensing on the input signal. The present invention uses sparsity information of the input signal, thereby enhancing signal compression efficiency in compressive sensing and signal restoration performance. Moreover, the present invention compresses a signal using a compression matrix appropriate for the sparsity information of the input signal, thereby enhancing the compression efficiency in the compressive sensing and improving the signal restoration performance.
Abstract:
PURPOSE: A multiple channel signal detection method and apparatus thereof are provided to effectively embody a system by reducing time and calculation rates which are necessary for detecting signals in multiple channels. CONSTITUTION: A transmission and reception apparatus(530) senses channels. A processor(510) technically contacts to the transmission and reception apparatus. The processor detects the signals based on interesting section sensing data. The processor is established in order to determine the nonexistence of a detection target signal in each channel which constructs interesting sections when the detection target signal is not detected.
Abstract:
PURPOSE: A device for reducing noise in a DC power supply is provided to prevent an error occurrence due to a spur component in a spectrum sensing receiver, and to improve a signal to noise ratio of a transceiver by removing a direct current noise of an SMPS(Switching Mode Power Supplier) by using a circuit for eliminating noise. CONSTITUTION: A device for reducing noise in DC power supply comprises a ferrit bead(41) removing after converting a noise included in a DC voltage inputted from an SMPS into heat; and a low frequency filter(43) removing a low frequency noise of the DC voltage by having an inductor and a capacitor.
Abstract:
PURPOSE: A data transceiver, a data transceiving antenna, a sharing method between a sensing receiver and a sensing antenna, and a wireless communication system are provided to improve the use efficiency of the transceiver and the antenna through smooth sharing of each transceiver and antenna. CONSTITUTION: In case a current time section is a data transceiving section, a data transceiver transmits and receives data(410,420). In case the time section is a QP(Quiet Period), the data transceiver receives inband sensing data with a sensing receiver(430,440). In case the time section is not the QP, a data signal processor confirms a separate sensing schedule(450). In case there is the sensing schedule, the data transceiver receives sensing data(460).
Abstract:
A method and an apparatus for detecting a signal with cyclo-stationary characteristics are provided to efficiently perform a spectrum sensing by reducing a complexity of calculation in detecting a signal with cyclo-stationary characteristics. An apparatus for detecting a signal calculates cyclo-stationary characteristics values on a cyclic frequency domain of input signals(S110), normalizes the calculated cyclo-stationary characteristics values(S120), multiplies the calculated cyclo-stationary characteristics values each other(S130), compares the result values of multiplication with a critical value(S140), determines that the signal exists in the input signals in case a result value is larger than the critical value(S150), and detects the signal from the input signals(S160).
Abstract:
A channel set management method and a system thereof for a dynamic channel allocation which periodically manages idle channels in a recognition wireless communications system which dynamically assigns the frequency of channel are provided to select optimum mobile channel by providing information for determining suitable frequency. A channel estimator(230) predicts a channel condition and a channel environment about an idle channel based on the channel information obtained through the spectrum sense and communications protocol. A reliability decision device(250) evaluates the reliability about the predictable result. A channel set administration(270) gives available rank to the idle channel based on the evaluated reliability.
Abstract:
An apparatus and a method for predicting a channel status based on a cognitive radio communication are provided to reduce a time and a calculation quantity by providing a next status prediction scheme using an algorithm of an HMM(Hidden Markov Model) and a channel status record. An apparatus for predicting a channel status based on a cognitive radio communication includes an input unit(11), a parameter calculation unit(12), a likelihood calculation unit(13), and a channel prediction unit(14). The input unit receives previous information of a channel to be predicted. The parameter calculation unit calculates a model parameter for the probability of previous state information received through the input unit to be maximized. The likelihood calculation unit calculates a likelihood value for each state of channels based on the model parameter calculated in the parameter calculation unit. The channel prediction unit predicts a next state of a channel from the previous state of the channel having the maximum value of the likelihood value calculated in the likelihood calculation unit.