Abstract: Surface processing equipment (100, 400) comprising one or more sets of rotatable tool holders (110) for processing a concrete surface, the equipment (100, 400) comprising a protective cage structure (120) arranged to enclose the sets of tool holders (110), the equipment (100, 400) being arranged to cooperate with a dust extraction system (130) arranged to draw a particle-laden airflow (A) from an interior of the protective cage structure (120) via at least one aperture (250) formed in the protective cage structure (120), where at least one further aperture (250) is formed in the protective cage structure (120) to allow an amount of air to enter into the interior of the protective cage structure (120).

Abstract: A radar system for coordinated automotive radar transmission, comprising a cellular access network node configured to establish a primary time synchronized frame structure (310) for cellular radio transmissions over a first local area in a first frequency band (F1), wherein the primary time synchronized frame structure (310) is at least partly defined by one or more transmitted synchronization signals (320), and one or more automotive radar transceivers arranged to determine a radar time reference (T0) from the one or more synchronization signals (320), and to establish a secondary time synchronized frame structure (330) for radar transmissions over at least part of the first local area in a second frequency band (F2), wherein the secondary time synchronized frame structure (330) is at least partly defined by the radar time reference (T0).

Abstract: A method in a vehicle for verifying an estimated position of the vehicle, the method comprising establishing a wireless link to a radio base station, RBS, 150, obtaining data from a downlink transmission on the wireless link (145) from the RBS (150) to the vehicle (100) for estimating the vehicle position, estimating the vehicle position based on the data, transmitting a request for position verification to the RBS (150), receiving a response from the RBS (150) to the transmitted request comprising a verification position estimate based at least partly on data obtained from an uplink transmission on the wireless link (145) to the RBS (150) from the vehicle (100), and verifying the estimated position of the vehicle (100) by comparing the estimated vehicle position to the verification position estimate.

Abstract: A method for phase noise detection in a MIMO communication system comprises the step of computing an initial estimate of phase using received pilot symbols. A phase follows for interpolating between successive pilot symbol phase estimates to obtain a coarse resolution reference phase estimate. Then, it follows a phase for computing a fine resolution estimate of phase using said coarse resolution phase estimate together with data expressing characteristics of known phase noise processes, applying an expectation maximization (EM) algorithm. The application of the EM algorithm can be further refined using improved symbol decisions from a FEC decoding.

Abstract: A transmitter comprising a baseband modulator arranged to modulate a complex baseband signal and to output a complex modulated signal xin(n) with amplitude g and phase q, i.e. xin(n)=g(n)ejq(n), to the input port of a filter, the filter in turn having its output coupled to a transmit unit, said filter being arranged to output a filtered complex output signal xout(n) with amplitude g but phase m, i.e. xout(n)=g(n)ejm(n), so that the filter is arranged to affect the phase but not the amplitude of its input signal. The filter is arranged to have as its transfer function for the phase of its input signal the z-transform F(z)=1+wz?1, where w is a weighting function whose value is determined by means of the additive noise autocorrelation, the phase noise autocorrelation and the signal amplitude of xin.

Abstract: A method for phase noise detection in a MIMO communication system comprises the step of computing an initial estimate of phase using received pilot symbols. A phase follows for interpolating between successive pilot symbol phase estimates to obtain a coarse resolution reference phase estimate. Then, it follows a phase for computing a fine resolution estimate of phase using said coarse resolution phase estimate together with data expressing characteristics of known phase noise processes, applying an expectation maximization (EM) algorithm. The application of the EM algorithm can be further refined using improved symbol decisions from a FEC decoding.

Abstract: A transmitter comprising a baseband modulator arranged to modulate a complex baseband signal and to output a complex modulated signal xin(n) with amplitude g and phase q, i.e. xin(n)=g(n)ejq(n), to the input port of a filter, the filter in turn having its output coupled to a transmit unit, said filter being arranged to output a filtered complex output signal xout(n) with amplitude g but phase m, i.e. xout(n)=g(n)ejm(n), so that the filter is arranged to affect the phase but not the amplitude of its input signal. The filter is arranged to have as its transfer function for the phase of its input signal the z-transform F(z)=1+wz?1, where w is a weighting function whose value is determined by means of the additive noise autocorrelation, the phase noise autocorrelation and the signal amplitude of xin.

Abstract: A signal processing device for a diversity combining radio receiver is disclosed. Said device comprises a plurality of receive branches and a joint detector adapted to determine a joint received symbol based on a combined signal. Said device also comprises a control unit adapted to determine a branch signal error based on the joint received symbol and the input signal of that receive branch. Each receive branch further comprises an adaptive filter. The control unit is adapted to update the coefficients of the adaptive filter of each receive branch based on a weighted signal error combination, wherein weight of the weighted signal error combination is selected based on channel conditions. A corresponding diversity combining radio receiver, a corresponding electronic apparatus, a corresponding method, a corresponding computer program product, and a corresponding computer readable medium are also disclosed.

Abstract: A signal processing device for a diversity combining radio receiver is disclosed. Said device comprises a plurality of receive branches and a joint detector adapted to determine a joint received symbol based on a combined signal. Said device also comprises a control unit adapted to determine a branch signal error based on the joint received symbol and the input signal of that receive branch. Each receive branch further comprises an adaptive filter. The control unit is adapted to update the coefficients of the adaptive filter of each receive branch based on a weighted signal error combination, wherein weight of the weighted signal error combination is selected based on channel conditions. A corresponding diversity combining radio receiver, a corresponding electronic apparatus, a corresponding method, a corresponding computer program product, and a corresponding computer readable medium are also disclosed.