A method and device for channel estimation based on sliding window
A channel estimation and sliding window technology, applied in the field of channel estimation based on sliding window, can solve the problems of affecting channel estimation performance and increasing the mean square error value, and achieve the effect of improving performance and increasing computational complexity.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0025] When using Wiener estimation for channel estimation, the process of Wiener interpolation filtering is as follows:
[0026] A set of channel responses of pilot positions have been obtained before interpolation, let the frequency and time indexes of the channel responses of pilot positions be k' and l' respectively, H(k', l') is the corresponding frequency domain channel Response. From these channel response values, the channel response value can be estimated by the two-dimensional Wiener filter interpolation algorithm, as shown in formula (1)
[0027] H ^ ( k , l ) = Σw ( k ′ , l ′ ; k , l ) H ( k ′ ...
PUM
![No PUM](https://static-eureka.patsnap.com/ssr/23.2.0/_nuxt/noPUMSmall.5c5f49c7.png)
Abstract
Description
Claims
Application Information
![application no application](https://static-eureka.patsnap.com/ssr/23.2.0/_nuxt/application.06fe782c.png)
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com