Estimation method and device for multi-district united channel
A technology of joint channel estimation and channel estimation, applied in the field of multi-cell joint channel estimation, can solve the problems of reducing joint detection performance and affecting the quality of channel estimation, etc.
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no. 1 example
[0105] Please refer to FIG. 1, the multi-cell joint channel estimation device 100 according to the first embodiment of the present invention includes a pilot signal extractor 101, a signal memory 102, a signal canceller 103, a plurality of single-cell channel estimators 104, a main path Extractor 105 , channel accumulator 106 , main path pilot signal reconstructor 107 , noise estimator 108 and noise reduction processor 109 .
[0106] refer to figure 2 1, the multi-cell joint channel estimation method according to the first embodiment of the present invention includes the following steps:
[0107] Step S201, the pilot signal extractor 101 intercepts the training sequence signal r=[r from the received signal 1 , r 2 ,...,r P ] T , where P is the length of the training sequence; this training sequence signal can be stored in the signal memory 102;
[0108] Step 202, the device 100 performs channel estimation initialization, including setting the number of iterations N, and t...
no. 2 example
[0117] Referring to the device 300 shown in Figure 3 and figure 2 Describe the second embodiment of the present invention, the estimation method of this embodiment is basically the same as the same steps in the first embodiment, the only difference is that in step 207 of this embodiment, the signal canceller 303 is from the initial received Eliminate the influence of the main path signal in the training sequence signal r, that is, according to the formula r ( i + 1 ) = r - Σ j = 1 J M j h ~ j Get a new training sequence signal r (i+1) , where the main path pilot signal reconstructor 307 obtains the updated channel estimation values of each...
no. 3 example
[0119] Please refer to Figure 4 and Figure 5 As shown, in the third embodiment, the process of embedding the noise reduction processing into the iterative operation, this embodiment includes the following steps:
[0120] Step 501, the pilot signal extractor 401 intercepts the training sequence signal r=[r from the received signal 1 , r 2 ,...,r P ] T , where P is the length of the training sequence; this training sequence signal can be stored in the signal memory 102 .
[0121] Step 502, the multi-cell joint channel estimation device 400 performs channel estimation initialization, including setting the number of iterations N, and the main path selection threshold λ for each iteration 1 ,λ 2 ,...,λ N , channel noise reduction threshold γ, initial channel estimate h ~ = 0 JP × 1 , of which 0 JP×1 Represents a column vector of l...
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