Channel estimation method based on particle filtering

A channel estimation and particle filter technology, applied in the field of wireless transmission, can solve problems such as the engineering practical significance is not very prominent, not very applicable

Inactive Publication Date: 2009-10-21
SHANGHAI JIAOTONG UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, the algorithms proposed in the above two articles are not suitable for the actual situation where the channel is unknown, and the practical engineering significance is not very prominent

Method used

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  • Channel estimation method based on particle filtering
  • Channel estimation method based on particle filtering
  • Channel estimation method based on particle filtering

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Embodiment Construction

[0031] like figure 1 Shown, in conjunction with example technical scheme of the present invention is described further:

[0032] Taking a MIMO-OFDM system with 2 transmissions and 2 receptions as an example, the channel bandwidth is 6.4MHz and the number of subcarriers is 32. The channel is a multipath Rayleigh fading channel, the number of channel multipaths is 2, the time delay is [0ns, 260ns], and the power delay distribution obeys exponential decay. During data transmission, the transmitting antenna inserts pilot sequences of two consecutive symbols every 6 OFDM symbols, and the pilot sequences on different antennas are orthogonal to each other. Since there is a channel between each transmit and each receive antenna, each channel estimation result actually contains estimates for 4 channels.

[0033] The present invention carries out the steps of channel estimation as follows:

[0034] 1. First arrange the block pilots arranged continuously in time on the pilots. This me...

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Abstract

The invention discloses a channel estimation method of corpuscle filtration in the radio transmission domain, which comprises the following steps: estimating least square of channel according to known pilot information; getting initial value which is estimated by the pilot channel; installing particle range and particle amount; giving out initial weight of every particle; using likelihood function to calculate likelihood function value of weight value of every particle according to signal which is received by pick-up antenna; normalizating likelihood function value of every particle; getting normalizated weight value of every particle; using Bayes's theory to get probability distribution function value of current channel value; resampling particle according to judgement condition; transforming current particle to next pilot area; getting channel estimated value of all pilot areas; carrying out interpolation algorism; getting channel estimated value of all transmitted data symbol; finishing channel information estimation. The invention has moderate property and strong anti-noise ability.

Description

technical field [0001] The invention relates to a channel estimation method for wireless communication, in particular to a channel estimation method based on particle filter, which is used in the technical field of wireless transmission. Background technique [0002] In wireless communication, the signal is affected by factors such as channel attenuation, multipath delay spread, and Doppler frequency spread during the propagation process. In order to better restore the transmitted signal at the receiving end, coherent demodulation is usually used, and coherent demodulation Channel information is needed for tuning, which can be obtained through channel estimation. The performance of the channel estimator directly affects the system performance. It is one of the key technologies of the receiver and plays a vital role in the performance of the broadband mobile communication system. However, since the wireless channel is a time-varying channel in the frequency domain and time do...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): H04B1/707H04L25/00H04L27/00G06F17/00H03H15/00H04L25/02
Inventor梁永明赵晓绚罗汉文张海滨戴文怡佘锋
OwnerSHANGHAI JIAOTONG UNIV