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Channel estimation method and apparatus
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A channel estimation and scheme technology, applied in channel estimation, baseband system components, multi-frequency code system, etc., can solve problems such as high instruction overhead
Active Publication Date: 2021-02-12
HUAWEI TECH CO LTD
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[0005] The above precoding vectors are usually the precoding vectors used to precode a spatial stream in one frequency band. The receiver device usually needs to indicate the precoding vectors corresponding to multiple frequency bands to the transmitter device, and the precoding vectors corresponding to each frequency band Encoding vectors are indicated independently, which leads to higher indication overhead
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example 1
[0160] Example 1: Suppose the magnitude matrix to be quantized is a 4×4 matrix, expressed as in, is the magnitude matrix to be quantized, a c,d 'yes The elements in row c and column d in , 1≤c≤4, 1≤d≤4, c and d are both integers. Then, if The largest element in is a 2,3 ’, then the receiver device can use a 2,3 ’ as a normalized benchmark, for Each element in is normalized, where, for a 2,3 ’ After normalization, 1 is obtained, and the value obtained after normalization for other elements is less than or equal to 1. Then, each element after normalization is quantized to obtain a quantization value of each element after normalization, that is, a normalization coefficient corresponding to each element after normalization is obtained. The normalization coefficient corresponding to each element after normalization forms the following magnitude matrix in, is the quantized magnitude matrix, is a1,1 'relative to a 2,3 'The value obtained after normalization, is ...
example 2
[0175] Example 2: Suppose the magnitude matrix to be quantized is the matrix above and The largest element in is a 2,3 ’, if the largest element of each row in the 1st to 4th row is a 1,1 ', a 2,3 ', a 3,2 ' and a 4,1 ’, then: in the first level of quantization, the receiver device can use a 2,3 'As a normalization benchmark, respectively for a 1,1 ', a 2,3 ', a 3,2 ' and a 4,1 ’ is normalized to get and Then, respectively and quantify, get and In the second level of quantization, the For each row in , the receiver device can normalize each element in the row, and then quantize each element obtained after normalization in the row. The magnitude matrix obtained after performing the first-level quantization and the second-level quantization can be:
[0176]
[0177] in, The explanation of each element in can be obtained by referring to the above, and will not be repeated here.
[0178] Based on mode 2, the indication information can be indicated b...
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Abstract
The application discloses a channel estimation method and device, relates to the technical field of communication, and helps to reduce indication overhead. The method may include: generating and sending indication information. The instruction information is used to indicate K N-dimensional space-domain component vectors, L M-dimensional frequency-domain component vectors and weight matrices to indicate the construction of an M×N-dimensional or M×N or N×M space-frequency matrix, space-frequency matrix Including M N-dimensional precoding vectors, each precoding vector is applied to one of the M frequency bands, the space-frequency matrix is generated by weighted combination of multiple space-frequency component matrices, and each space-frequency in the multiple space-frequency component matrices The component matrix is constructed based on two vectors, one of which is constructed based on a space-domain component vector, and the other vector is constructed based on a frequency-domain component vector; the weight matrix is a matrix of multiple space-frequency component matrices A matrix composed of weights; M≥1, N≥2, K≥1, L≥1, M, N, K and L are all integers.
Description
technical field [0001] The present application relates to the technical field of communications, and in particular to a channel estimation method and device. Background technique [0002] The emergence of multiple input multiple output (MIMO) technology has brought revolutionary changes to wireless communication. MIMO technology can significantly improve the performance of the wireless communication system by deploying multiple antennas on the transmitting end device and the receiving end device. For example, in a diversity scenario, MIMO technology can effectively improve transmission reliability; in a multiplexingscenario, MIMO technology can greatly improve transmission throughput. [0003] The MIMO system usually uses precoding technology to improve the channel, so as to enhance the effect of spatial multiplexing (spatial multiplexing). The precoding technology uses a precoding matrix that matches a channel to process a spatially multiplexed data stream (hereinafter r...
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