Abstract:
A communication method of a base station and a terminal based on interference alignment in a multi-cell multi-user multiple-input multiple-output (MIMO) interference channel and a method and apparatus of communication using interference alignment and block successive interference pre-cancellation in a multi-user MIMO interference channel. The base station may determine a precoding matrix to maximize a signal to interference and noise ratio (SINR) and a signal to leakage and noise ratio (SLNR) in the interference channel, and a terminal communicating with the base station may determine a decoding matrix to align interference. The transmitter including a multicell interference channel may calculate a rotation matrix for interference alignment, identify effective symbol vectors using the rotation matrix, and generate a transmit signal of a target transmitter to pre-cancel interference corresponding to a transmit signal of a neighboring transmitter.
Abstract:
A mobile robot having a returning mechanism includes one or more moving members mounted on a body of the mobile robot; and a cable member connected to one side of the mobile robot so as to supply the mobile robot with electrical power. Further, the mobile robot includes a returning member having a rigidity stronger than the cable member and disposed to wrap the cable member so that the cable member is placed within the returning member; and a take-up unit configured to pull the returning member to keep it taut.
Abstract:
An operation method performed by an apparatus for detecting multiple targets may comprise transmitting first signals using Mt transmit antennas included in the apparatus; receiving the first signals reflected by the multiple targets through Mr receive antennas included in the apparatus; generating a first function for estimating a velocity and an azimuth of each of the multiple targets using the first signals and the reflected first signals; estimating a velocity and an azimuth that maximize a result of the first function as a velocity and an azimuth of a first target closest to the apparatus among the multiple targets; generating a second function by cancelling interference caused by the first target from the first function; and estimating a velocity and an azimuth that maximize a result of the second function as a velocity and an azimuth of a second target among the multiple targets.
Abstract:
A mowing boundary area recognizing apparatus of a mowing robot includes a ground state measurer configured to acquire environment data of a ground based on a grass length on the ground, a determiner configured to determine the grass length on the ground on a basis of the ground environment data to recognize a mowing boundary area, and a controller configured to adjust running of the mowing robot to a mowing area for which mowing is needed.
Abstract:
Disclosed are a signal compression apparatus and method for dynamic compressive sensing, including: a signal input unit configured to simultaneously output an input signal, and generate and output a linear measurement reference signal based on the input signal; a linear transform unit configured to receive the linear measurement reference signal and variably generate a linear measurement matrix value according to the linear measurement reference signal; a signal compressor configured to output a compressed signal for the input signal based on the generated linear measurement matrix value; and a signal processor configured to reconstruct the compressed signal and perform spectrum sensing of the input signal. Accordingly, it is possible to increase signal compression efficiency of compressive sensing and improve signal reconstruction performance by using sparsity information of the input signal, and also by performing signal compression by using a compression matrix suitable for the sparsity information of the input signal.
Abstract:
A method includes constructing map information by obtaining information of environment of a target mowing area, generating a 3-D space path along which the robot having mowing equipment mounted thereon is to move in the target mowing area based on the constructed map information, driving the robot so that the robot travels along the 3-D space path in response to an instruction for executing a mowing mode, extracting a ground area and an obstacle for robot driving by extracting information of a 3-D space when traveling along the 3-D space path, adaptively controlling the driving and mowing mode of the robot based on the extracted ground area and obstacle, and terminating the mowing mode when detecting a completion of the mowing for the target mowing area during the mowing mode.
Abstract:
An exemplary embodiment provides a carrier aggregation apparatus including: a level assignment manager configured to perform management by classifying a license band allocated to a cognitive radio cell into a primary radio resource (PRR) level, and by classifying a shareable band obtained through a cognitive radio database or spectrum sensing into an auxiliary radio resource (ARR) level; a determiner configured to determine a quality of service (QoS) level of a communication service provided to the cognitive radio cell; and a service provider configured to allocate a frequency resource of the PRR level when the QoS level requires a first communication service, and to allocate a frequency resource of the ARR level when the QoS level requires a second communication service lower than the first communication service.