A radar receiver (Rx) receives a reflected wave signal corresponding to a radar transmitting signal having been reflected on a target by using a plurality of antenna system processors (D1 to D4), and estimates an arrival direction of the reflected wave signal. A peak frequency selector (21) selects a peak value of a correlation vector. An adjacent time-frequency component extractor (22) extracts correlation vectors in number of (NE×NT−1) corresponding to NE Doppler frequencies and NT times respectively adjacent to a Doppler frequency and a time giving a peak value. A correlation matrix generating adder (23) generates a correlation matrix corresponding to correlation of the reflected wave signal received by a plurality of receiver antennas on the basis of the (NE×NT) extracted correlation vectors.

A radar receiver (Rx) receives a reflected wave signal corresponding to a radar transmitting signal having been reflected on a target by using a plurality of antenna system processors (D1 to D4), and estimates an arrival direction of the reflected wave signal. A peak frequency selector (21) selects a peak value of a correlation vector. An adjacent time-frequency component extractor (22) extracts correlation vectors in number of (NE×NT−1) corresponding to NE Doppler frequencies and NT times respectively adjacent to a Doppler frequency and a time giving a peak value. A correlation matrix generating adder (23) generates a correlation matrix corresponding to correlation of the reflected wave signal received by a plurality of receiver antennas on the basis of the (NE×NT) extracted correlation vectors.

A device and method for improving the accuracy of angle of arrival and departure computations is disclosed. The device and method rely on manipulation of the antenna switching pattern to achieve an improved calculation of arrival angle. In one embodiment, the device calculates an estimate angle of arrival using conventional methods. The device then determines which of a plurality of different antenna switching pattern yields the more accurate results at this estimated angle of arrival. The AoA measurement is then repeated using the preferred antenna switching pattern. In another embodiment, the device captures the amplitude and/or phase of the signal from each antenna element. The device then sorts these antenna elements and defines a preferred antenna switching pattern based on the sort list. The AoA measurement is then performed using the preferred antenna switching pattern. In another embodiment, neural networks may be utilized to determine the preferred antenna switching pattern.

[Object] To provide a mechanism for evaluating the appropriateness of an employed noise segment. [Solution] An information processing apparatus including: an acquisition section configured to acquire an acoustic signal indicating a sound collection result of a sound collection device group; and a control section configured to calculate a first weight in accordance with a degree to which the acoustic signal acquired by the acquisition section is a signal obtained by observing stationary noise and to apply the first weight to a noise spatial correlation matrix that is a spatial correlation matrix obtained from a noise signal.

A method of estimating the location of a signal source comprises, by a processing unit: determining ΔΔφ.sup.m,n which represents a difference between accumulated phases of signals, S.sub.m and S.sub.n, received by at least one pair of the receivers, determining a first estimate of the location of said signal source based on position data and ΔΔφ.sup.m,n of said at least one pair of receivers, said first estimate being associated with an accuracy area, determining data representative of difference in times of arrival of modulation patterns of the signals S.sub.m, S.sub.n, wherein said data comprise an ambiguity, and for said at least one pair of receivers, using at least said data representative of difference in times of arrival of the modulation patterns of the signals, ΔΔφ.sup.m,n, and said accuracy area, to obtain second estimates ê.sub.Src.sup.k of the source location, at least some of them being located within the accuracy area

A method of estimating the location of a signal source comprises, by a processing unit: determining ΔΔφ.sup.m,n which represents a difference between accumulated phases of signals, S.sub.m and S.sub.n, received by at least one pair of the receivers, determining a first estimate of the location of said signal source based on position data and ΔΔφ.sup.m,n of said at least one pair of receivers, said first estimate being associated with an accuracy area, determining data representative of difference in times of arrival of modulation patterns of the signals S.sub.m, S.sub.n, wherein said data comprise an ambiguity, and for said at least one pair of receivers, using at least said data representative of difference in times of arrival of the modulation patterns of the signals, ΔΔφ.sup.m,n, and said accuracy area, to obtain second estimates ê.sub.Src.sup.k of the source location, at least some of them being located within the accuracy area

A two-dimensional direction-of-arrival estimation method for a coprime planar array based on structured coarray tensor processing, the method includes: deploying a coprime planar array; modeling a tensor of the received signals; deriving the second-order equivalent signals of an augmented virtual array based on cross-correlation tensor transformation; deploying a three-dimensional coarray tensor of the virtual array; deploying a five-dimensional coarray tensor based on a coarray tensor dimension extension strategy; forming a structured coarray tensor including three-dimensional spatial information; and achieving two-dimensional direction-of-arrival estimation through CANDECOMP/PARACFAC decomposition. The present disclosure constructs a processing framework of a structured coarray tensor based on statistical analysis of coprime planar array tensor signals, to achieve multi-source two-dimensional direction-of-arrival estimation in the underdetermined case on the basis of ensuring the performance such as resolution and estimation accuracy, and can be used for multi-target positioning.

A radio station, in particular an access point, for client localization in a multipath indoor environment is disclosed. The radio station comprises: a circular antenna array comprising uniform circularly arranged antenna elements; and a processor configured to: transform first input data from the circular antenna array into second input data using a transform that transforms the first steering vector of the circular antenna array into a second steering vector of a virtual linear antenna array; and transform the second input data into third input data by using a transform that transforms the second steering vector of the virtual linear antenna array into a third steering vector of a second virtual linear antenna array, comprising a larger number of antenna elements than the virtual linear antenna array; and determine an angle of arrival based on the third input data.

A radio station, in particular an access point, for client localization in a multipath indoor environment is disclosed. The radio station comprises: a circular antenna array comprising uniform circularly arranged antenna elements; and a processor configured to: transform first input data from the circular antenna array into second input data using a transform that transforms the first steering vector of the circular antenna array into a second steering vector of a virtual linear antenna array; and transform the second input data into third input data by using a transform that transforms the second steering vector of the virtual linear antenna array into a third steering vector of a second virtual linear antenna array, comprising a larger number of antenna elements than the virtual linear antenna array; and determine an angle of arrival based on the third input data.

The invention discloses a method for estimating the direction-of-arrival of a coprime array based on virtual domain statistics reconstruction of single-bit quantized signal, which mainly solves the problems of difficult realization of software and hardware, limited degree of freedom and the like in the prior art. The realization steps are as follows: arranging a coprime array and a single-bit analog-to-digital converter at a receiving end; calculating equivalent virtual signal corresponding to a single-bit receipt signal of the coprime array; constructing a virtual domain augmented covariance matrix of an initialized single-bit quantized signal; designing, based on statistical correlation analysis between statistics of the single-bit quantized signal and the original unquantized signal, an optimization problem based on virtual domain statistics reconstruction of quantized signal; and performing direction-of-arrival estimation by utilizing the virtual domain augmented covariance matrix corresponding to the optimized single-bit quantized signal.