Wireless channel scene recognition method based on unscented Kalman filter artificial neural network (UKFNN)
A wireless channel and scene recognition technology, which is applied in the directions of transmission channel monitoring, transmission monitoring, electrical components, etc., can solve the problems of high difficulty, low accuracy, and high complexity of wireless channel modeling, and achieves simple methods, improved accuracy, and reduced complexity. Effects of Sexuality and Computational Volume
Active Publication Date: 2016-06-29
YANGZHOU YUAN ELECTRONICS TECH CO LTD
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Problems solved by technology
[0006] In view of the above problems, the present invention provides a UKFNN-based wireless channel scene recognition method, using the unscented Kalman filter neural network method, namely: UKFNN, to establish a dynamic real-time filtering effect segmentation model and partition for wireless channel state parameter estimation Model, so that it can reflect the actual distribution of the channel, so as to realize the identification of the road section and area of the wireless channel, to solve the problems of high complexity, difficulty, and low precision of wireless channel modeling, and intelligently segment the real channel data and partition
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[0067] From figure 1 It can be seen that a UKFNN-based wireless channel scene recognition method includes the following steps:
[0068] S1: collect channel data of continuous road sections as training samples;
[0069] S2: Divide the obtained training samples into l segments on average, l=2, 3, 4, 5, ..., use the unscented Kalman filter neural network to model respectively, determine the number of segments according to the modeling effect and obtain a continuous channel Data segmentation model;
[0070] The specific steps of obtaining the continuous channel data segmentation model in step S2 are as follows:
[0071] S21: Using Hotelling transform to convert the channel data in complex number form into real number domain data;
[0072] The Hotelling transformation (K-L) is:
[0073] Treat each channel data as a pair of binary ordered real numbers, and use K-L transform to transform it into a one-dimensional real number.
[0074] Let A=(a,b) T is the channel data in the fo...
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The invention discloses a wireless channel scene recognition method based on an unscented Kalman filter artificial neural network (UKFNN). The method comprises the following steps: acquiring channel data of continuous road sections as a training sample; determining the number of the sections and obtaining a continuous channel data section model; performing regional division on each section of data by using an AP algorithm; labeling the training sample, and establishing a continuous channel data regional division model; introducing data to be tested to the section model to judge the road section; and introducing the data to be tested to the regional division model to judge the region. The method has the advantages that the model establishment complexity is low, the calculation quantity is small, and the precision of the models is improved; by adopting the AP algorithm for clustering, the clustering number does not need to be specified, so that the channel recognition method is simpler, the models are easier to construct, and the road section and the region to which the tested data acquired from the continuous road sections belongs can be accurately recognized.
Description
technical field [0001] The invention relates to the field of pattern recognition in wireless channels, in particular to a wireless channel scene recognition method based on UKFNN (unscented Kalman filter artificial neural network, unscented Kalman filter artificial neural network). Background technique [0002] The mobile communication industry has been developing rapidly at an astonishing speed, and has become one of the main high-tech industries driving the global economic development, and has had a huge impact on human life and social development. In mobile communication, electromagnetic waves are used to transmit signals between the sending end and the receiving end. We can imagine that there are some invisible electromagnetic paths between the two, and these electromagnetic paths are called wireless channels. Wireless channels are closely related to the surrounding environment, and wireless channels in different environments have some differentiated characteristics. Ho...
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Login to View More IPC IPC(8): H04B17/391H04B17/30
CPCH04B17/30H04B17/391
Inventor 李太福姚立忠黄迪梁晓东周伟
Owner YANGZHOU YUAN ELECTRONICS TECH CO LTD