This article will pave the way for "MATLAB-based Kalman filter design".
1. Abbreviations used in this article
FBMC: Filter Bank Multi-Carrier filter bank multi-carrier
MIMO: Multi-input Multi-output multiple input multiple output
2. Foreshadowing
Modulation: Process the information of the signal source and add it to the carrier to make it more suitable for channel transmission.
Filtering: Filter out specific frequency bands in the signal to suppress or prevent interference.
3. Analysis
In the multi-input and multi-output massive IoT environment, in order to ensure reliable information interaction, increase user experience, and bring a new visual experience, at the same time, in the communication link, avoid introducing high-complexity sub-carrier orthogonal clusters , it is necessary to introduce combined transmission schemes such as channel modulation technology , filtering technology , and channel estimation technology into the application scenarios of massive IoT. This is crucial for virtualized MIMO application services.
With the widespread deployment of Internet of Everything scenarios, new air interface modulation technology has become a key research direction in the industry. Applications such as ultra-intensive large-scale networking, ultra-high speed, and ultra-mobile broadband have been realized. At the same time, applications such as wireless connection, Internet of Things, tactile intelligent control, and large-scale machine communication all require the carrying capacity of new modulation technologies. Modulation scheme: FBMC modulation scheme , generalized frequency division multiplexing , general filter multi-carrier and dual orthogonal frequency division multiplexing , new air interface signal processing technology will play an important role in the future massive IoT and ultra-large-scale MIMO dense networking architecture.
Research on FBMC modulation scheme has become one of the most promising air interface processing technologies. As early as 1980, the FBMC method originated from the pioneering research of Chang and Saltzberg. After the emergence of orthogonal frequency division multiplexing, the concept of filter bank multi-carrier technology was proposed. Saltzberg's research found that designing a prototype filter in an end-to-end channel can achieve a transmission rate close to the Nyquist rate , and filter bank multi-carrier technology can minimize side lobes . Therefore, the synthesis filter structure , polyphase filter structure and analysis filter structure can be analyzed , so as to propose an innovative multi-carrier system design based on filter banks.
In fact, symbol scrambling will be stimulated between consecutive multi-carrier symbols in a multipath channel . The classic OFDM technology introduces a cyclic prefix , but also introduces time overhead , resulting in a loss of spectral efficiency. In the modern information interaction system of the massive Internet of Things, the MIMO dense networking method has the possibility of realizing end-to-end communication with ultra-high complexity, ultra-high speed, ultra-low delay, and ultra-large capacity. The foundation of networking has been laid, and the promising FBMC modulation scheme can effectively suppress inter-symbol interference and avoid more redundant time overhead.
4. Implementation Difficulty
In the MIMO multi-path channel transmission system, the FBMC modulation scheme is difficult to implement.
- Hardware design and implementation are more difficult;
- The implementation difficulty and computational complexity of the baseband processing module are relatively high, and the calculation amount is greatly increased compared with the OFDM modulation technology scheme
- Relatively complex channel transmission environment, such as hardware impairments and imperfect channel state information
In fact, it is not easy to completely eliminate the interference between adjacent subcarriers in the modulation process of the FBMC system . Of course, in multi-path channel transmission, the FBMC modulation scheme has its unique advantages, which can better match application scenarios such as high data rate, ultra-low delay, and ultra-high reliability. It can also be added by adding Additional prototype filtering schemes to handle overlap between symbols and carrier aggregation issues.
One of the advantages of FBMC is to provide carrier and spectrum aggregation. In different types of communication models, different FBMC modulation and filtering systems are designed to provide high spectrum efficiency for communication systems. At the same time, channel errors are eliminated as much as possible in channel numerical research. Reaching the optimal linear minimum mean square error .