Channel estimation method of novel narrowband Internet of Things uplink shared channel
A narrowband Internet of Things and channel estimation technology, applied in the field of channel estimation of uplink shared channels at the physical layer, can solve the problems of low estimation accuracy, computational complexity, low estimation accuracy, and large noise pollution, and achieve high estimation accuracy and improve estimation accuracy. , the effect of reducing noise pollution
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Embodiment 1
[0038] Such as image 3 Shown, a kind of channel estimation method of uplink shared channel of novel narrowband Internet of things, described method carries out the following steps:
[0039] S1: Carry out zero padding and repeat operations on the CFR estimated from the pilot;
[0040] S2: Since the energy of the CIR channel after repeated operations is more concentrated on the taps at both ends, by setting the taps in the middle part to zero, part of the noise can be filtered while retaining most of the channel energy;
[0041] S3: Convert the filtered CIR back to CFR by DFT, then extract the corresponding first 3M taps, and average the 3 repetitions of CFR to obtain the channel estimation value of the pilot symbol;
[0042]S4: Then, by weighting and averaging the estimated channels of multiple time slots at the pilot symbol, the channel at the non-pilot position can be estimated, and the noise pollution can be further reduced.
Embodiment 2
[0044] Based on the channel estimation method of the new narrowband Internet of Things uplink shared channel described in Embodiment 1, this embodiment also provides a specific embodiment, as follows:
[0045] Step S1: Assumption respectively represent the received signal in the frequency domain, the transmitted signal in the frequency domain, CFR, and the noise in the frequency domain, X=diag(x), then y=Xh+w;
[0046] Carry out zero padding and repeat operations on CFR, and we can get
[0047]
[0048] in, I M is the M-dimensional identity matrix.
[0049] Step S2, such as Figure 4 As shown, it can be seen that the energy of the CIR channel after repeated operations is more concentrated in the taps at both ends, and the noise energy is more concentrated in the taps in the middle, so the taps in the middle can be set to zero, thereby retaining most of the channel energy. while filtering noise. Specifically, the tap of the middle part is set to zero, and the formula...
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