Research Of Algorithm Against Active Jamming Based On Network Collaborative

In modern warfare, with the gradual upgrade and wider use of electronic jammers, radar anti-jamming is confronted with more and more severe challenges. Active suppressing jamming can be formed high-power suppress signal which covers the target echo signal in the radar receiver; active deception jamming can form a strong correlation signal with transmitting in the radar receiver and produce false signal to deceive radar. These jammings had produced serious threat on the radar, due to the limitation capability of single pile radar, the use of network coordination for active jamming suppression gradually became a new electronic countermeasure method.Around a typical active anti-jamming problem, and based on the network collaborative technology, this thesis mainly completed the following research work:1. This thesis introduces active suppressing jammings and active deception jammings: noise amplitude modulation jamming, frequency modulation jamming, delay forwarding jamming, delay multiple false targets jamming. By analyzing the mechanism of these jammings, this thesis establishes the corresponding mathematical model, and simulates the impact of active jamming on the radar.2. To solve the problem that network collaborative design is not perfect, at first this thesis analyzes the network collaborative design method of radar model, and establishes the network coordination model through literature research, and sets up the working style of the model, and designs the optimal network structure according to the request of anti-jamming, at last analyzes the echo under the structure model and the method of echo signal processing.3. To solve the problem that active noise amplitude modulation jamming and active noise frequency modulation jamming are hard to identify, this thesis researches the traditional methods of jamming identification and jamming suppression, which the methods filter out noise on single pile radar through the time domain cancellation and frequency domain cancellation, and the interference spikes can be inhibition above 20 dB in the area of suppression. Based on the traditional identification and suppression method of active suppressing jammings, this thesis researches a method base on network collaborative topology feature to separate the jammings, which this method can identify the probability more than 97%.4. To solve the problem that distance jammings of pertinence and universality are hard to restrain, this thesis researches three kinds of algorithm to compete active deception jamming base on network collaborative. The first algorithm competes distance deception jamming based on the network collaborative topology, which this algorithm cancels the distance deception jamming through the netted radar topology construction. The second algorithm competes distance deception jamming based on elliptic targeting, which this algorithm distinguishes the false targets through the position of the locating node distribution. The third algorithm competes distance deception jamming based on vergence method, which this algorithm characterizes the true and the false target through the definition of vergence analysis. The simulation results show the true effectiveness of the method.