Wireless receiving system and method and device for channel estimation
A technology of channel estimation and processing method, which is applied in the field of communication, can solve the problems of channel estimation error increase and difficulty in implementing MIMO-OFDM/OFDM system noise reduction, etc., and achieve good noise reduction effect
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Embodiment 1
[0077] In this embodiment, the noise reduction processing of the channel estimation result is performed based on the transmission coefficients of each sub-channel estimated in the MIMO-OFDM system. The flow of the channel estimation processing method in this embodiment is as follows figure 2 As shown, the following steps 201-204 are included:
[0078] Step 201, extracting channel estimation results that do not contain virtual carrier components in the initial channel estimation results
[0079] The initial channel estimation results in this step can be obtained by using various existing channel estimation algorithms, such as LS, MMSE (Minimum Mean Square Error, minimum mean square error) and ML (Maximum likelihood, maximum likelihood) and other data-assisted estimation algorithms and Blind Estimation Algorithm.
[0080] The following example illustrates the extraction the process of: is the estimated value of the frequency domain transmission coefficient of the kth su...
Embodiment 2
[0137] According to the analysis in Example 1, the column vector last N of used -N CP The rows contain only interference and noise, so these sample points can be used to estimate the interference and noise power. For receiving antenna q, the interference and noise power ω q It can be estimated by formula (25) that
[0138] ω ^ q = 1 M T ( N used - N CP ) Σ p = 1 M T Σ m = N CP N used - 1...
Embodiment 3
[0147] The decomposition matrix Q of the part of the frequency-domain transformation matrix used in the channel estimation and noise reduction in the first embodiment of the present invention can also be obtained by performing other similar decompositions on the part of the frequency-domain transformation matrix F. For example, in the third embodiment of the present invention, using Singular value decomposition SVD is used for channel estimation and noise reduction. When using singular value decomposition SVD,
[0148] F=UDV H (26)
[0149] Among them, the left singular matrix U and the right singular matrix V are unitary matrices, and D is the singular value diagonal matrix of F. The unitary matrix U obtained by singular value decomposition can also be used for channel estimation and noise reduction. that is,
[0150] g ^ = U H H ^ = ...
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