Patent ID: 11943080
Assignee: SOUTHEAST UNIVERSITY
Field: Digital communication (Electrical engineering)
Classification: CPC H | IPC H

Claim 0:
1. A method for estimating dense multipath parameters by means of multipolarized broadband extended array responses, comprising following steps:
(1) transmitting multiple different transmitted signal sequences via a multipolarized antenna array, wherein a number of the transmitted signal sequences is equal to the number of transmitting antennas, each of the transmitted signal sequences is divided into different segments, a number of the segments in each of the transmitted signal sequences is not less than the number of the transmitting antennas, and a length of each of the segments of one of the transmitted signal sequence segments is not less than a number of Discrete Fourier Transform (DFT) points; and processing received data in multiple snapshots according to known transmitted signals, to obtain channel responses of multi-polarization components at all frequency points in a frequency band;
(2) vectorizing an obtained channel responses at the frequency points in each snapshot into a column vector, and arranging the channel responses in different snapshots into a two-dimensional matrix, wherein each column in the two-dimensional matrix is corresponding to a response in one of the multiple snapshots, and each row indicates a response of a certain receiving and transmitting array element pair at a certain frequency point in the multiple snapshots;
(3) estimating and acquiring a delay parameter regarding multipath propagation by using reference array elements; and
(4) selecting rows related to receiver reference array elements from the two-dimensional matrix described in step (2) to form a first matrix, selecting rows related to transmitter reference array elements to form a second matrix, reducing a dimensionality of a channel matrix of one of the first and second matrices by means of frequency domain smoothing, and estimating two-dimensional departure and arrival angles by using the channel matrix subjected to dimensionality reduction.