Iterative adaptive channel denoising method and iterative adaptive channel denoising device
An iterative adaptive, channel impulse response technology, applied in baseband systems, shaping networks in transmitters/receivers, digital transmission systems, etc. It can solve problems such as path delay extension estimation, etc., to achieve the effects of simple method operation and device structure, noise removal, and signal quality improvement.
Active Publication Date: 2019-11-12
西安宇飞电子技术有限公司
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However, in order to simplify the processing in practical applications, the windowing in the time domain is converted to the frequency domain to form a smoothing filter, and the estimated value of CFR is improved through the smoothing filter, so that the maximum multipath delay of the channel cannot be adjusted extension for accurate estimation
In order to ensure that the smoothing filter will not cause damage to the signal path, the width of the selected CIR window is usually greater than the maximum multipath delay spread value, which will affect the noise suppression capability. Noise within the path cannot be suppressed
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[0066] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0067] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this invention belongs. It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have meanings consistent with the meanings in the co...
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The invention relates to the technical field of wireless communication, in particular to an iterative adaptive channel denoising method and an iterative adaptive channel denoising device. The method comprises the following steps: S1, performing inverse fast Fourier transform on channel frequency response to obtain channel impulse response; S2, calculating to obtain a first noise detection threshold; S3, calculating to obtain a first signal-to-noise ratio; S4, calculating to obtain a second noise detection threshold; S5, performing noise and signal separation judgment on all the signals according to a second noise detection threshold; S6, reserving points around each path according to the length of the small path window, and reserving points around the main path according to the length of the main path window; and S7, transforming the denoised channel impulse response to a frequency domain by using discrete Fourier transform and sending the denoised channel impulse response to a signalestimation module. According to the invention, denoising processing is carried out on the channel by using different denoising thresholds according to different signal-to-noise ratios. Therefore, thenoise can be effectively removed and the quality of the received signal is greatly improved.
Description
technical field [0001] The invention relates to the technical field of wireless communication, in particular to an iterative adaptive channel denoising method and an iterative adaptive channel denoising device. Background technique [0002] The mobile wireless channel is a dispersive channel, and the signal will be dispersed in the time domain and frequency domain when passing through the wireless space, that is, the waveforms that are originally separated in time and frequency spectrum will overlap, causing the signal to fade and be distorted. This is selective fading. The so-called selectivity means that its fading characteristics are different in different spaces, different frequencies and different times. Generally fast fading will affect the selectivity of the wireless channel. According to the different selectivity, it can be divided into the following three categories: space selective fading, frequency selective fading, and time selective fading. [0003] A signal ...
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IPC IPC(8): H04L25/03
CPCH04L25/03019H04L25/03159
Inventor 熊军杨林王云杰
Owner 西安宇飞电子技术有限公司
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