# A New Improved Multi-Sequence Frequency-Hopping Communication Anti-Jamming System
## 2 Related Work  
### Jamming Utilization  
Reactive jamming can quickly learn communication decisions between users and implement tracking at a fast speed. In the face of complex and fast reactive jamming, traditional anti-jamming methods such as the use of a spread spectrum and frequency hopping are difficult to achieve ideal anti-jamming effects with. In [20], the author explored the development ideas of communication anti-jamming based on anti-brittleness. The concept of anti-brittleness communication has had a profound impact on the field of communication anti-jamming: the traditional \"jamming suppression\" anti-jamming communication mode is gradually shifting towards the \"jamming utilization\" anti-jamming communication mode. The research on jamming utilization can be mainly divided into the following directions: jamming information utilization, jamming energy collection, jamming-assisted positioning, jamming waveform utilization, and jamming utilization based on deep learning. In terms of utilizing jamming signals, reference [21] proposed an active anti-jamming (AAJ) scheme, in which the transmitting node remodulates the jamming signal with its own transmitted information to achieve anti-jamming communication. Reference [22] proposed using the reaction time of a reactive jammer to transmit information. Reference [23] attempted to describe jamming and determine the active utilization of jamming signals to improve the efficiency of wireless networks. We also utilize jamming signals to improve wireless networks and address potential issues that may arise in wireless networks. In terms of jamming energy harvesting, reference [16] proposed an anti-jamming scheme that combines neural network structure with environmental backscatter communication technology. The core of this scheme is to reflect the transmitted data back to the receiving end through jamming signals, and at the same time collect the energy of these jamming signals to support its communication needs. Based on references [16; 17], an intelligent deception strategy is proposed, which induces jamming by actively transmitting false signals to the jammer, while collecting energy from these jamming signals, effectively improving the efficiency of jamming utilization. In terms of jamming waveform utilization, in order to solve the problem of low jamming utilization efficiency caused by wireless channel transmission loss in references [16; 17], reference [18] proposes a method of using jamming waveforms to transmit user signals, utilizing the correlation between reactive jamming and user signals, and driving high-power jamming signals with low power to transmit the currently required user information. In terms of jamming-assisted positioning, reference [24] proposed a JAM-ME algorithm that uses jamming signals to assist positioning. This algorithm determines the position of the jamming machine through jamming signals, thereby establishing an autonomous jamming assisted navigation system. In terms of jamming utilization based on intelligent learning, ref. [19] proposed an intelligent differential frequency hopping communication framework (IDFH), which learns reactive jamming rules through neural networks to achieve anti-jamming communication. However, this method is only applicable to situations where only reactive jamming exists in the environment and still has certain limitations. Inspired by its jamming utilization concept, this paper proposes an intelligent multi-sequence frequency hopping communication framework that can improve communication performance in complex jamming environments by utilizing reactive jamming.