Abstract:
Disclosed are a method and device for estimating a channel in a multiple-receiving antenna system. The method comprises: a channel estimation is performed on a received pilot signal by using a least square channel estimation algorithm to obtain an estimation value HLS; an N′-dimensional channel autocorrelation matrix formula (I) and a channel frequency domain autocorrelation matrix Ri from a transmitting antenna i to any receiving antenna are acquired, and a weight matrix W which is descrambled and denoised is calculated, wherein i=1, 2, . . . , NT, and NT is the number of antennae at a transmitting end; the estimation value HLS is corrected by using the weight matrix W to obtain a corrected estimation value HP-LMMSE. The method and device of the disclosure may obtain the performance as close as possible to the LMMSE technology through less prior statistic information, and have a simple implementation manner.
Abstract:
Disclosed are a method and device for estimating a channel in a multiple-receiving antenna system. The method comprises: a channel estimation is performed on a received pilot signal by using a least square channel estimation algorithm to obtain an estimation value HLS; an N′-dimensional channel autocorrelation matrix formula (I) and a channel frequency domain autocorrelation matrix Ri from a transmitting antenna i to any receiving antenna are acquired, and a weight matrix W which is descrambled and denoised is calculated, wherein i=1, 2, . . . , NT, and NT is the number of antennae at a transmitting end; the estimation value HLS is corrected by using the weight matrix W to obtain a corrected estimation value HP-LMMSE. The method and device of the disclosure may obtain the performance as close as possible to the LMMSE technology through less prior statistic information, and have a simple implementation manner.
Abstract:
Provided is a processing method and apparatus for performing space-time decoding on MIMO signals. The method includes: performing QR decomposition on a channel matrix H with a size of Nr×Nt in a MIMO system and performing an initialization operation, wherein Nt is the number of transmitting antennas and Nr is the number of receiving antennas; enumerating candidate constellation points of transmitting signals at each level of transmitting antennas according to an input parameter M=[M1, M2, . . . , MNt], a receiving signal y and a result of the QR decomposition of the channel matrix H, wherein M is the number of the numerated candidate constellation points at each level, y=Hs+n calculating increments of a Euclid distance due to addition of selection of a candidate constellation point at present level according to obtained candidate constellation points; and deciding and outputting space-time decoding according to the sum of calculated increments of Euclid distances of candidate constellation points at all levels.
Abstract:
Provided is a processing method and apparatus for performing space-time decoding on MIMO signals. The method includes: performing QR decomposition on a channel matrix H with a size of Nr×Nt in a MIMO system and performing an initialization operation, wherein Nt is the number of transmitting antennas and Nr is the number of receiving antennas; enumerating candidate constellation points of transmitting signals at each level of transmitting antennas according to an input parameter M=[M1, M2, . . . , MNt], a receiving signal y and a result of QR decomposition of H, wherein M is the number of the numerated candidate constellation points at each level, y=Hs+n; calculating increments of a Euclid distance due to addition of selection of a candidate constellation point at present level according to obtained candidate constellation points; and deciding and outputting space-time decoding according to the sum of calculated increments of Euclid distances of candidate constellation points at all levels.