Recognition Chaff from target by determining the optimal waveform in the radar detector using artificial neural network
Journal Title: Electronic and Cyber Defense - Year 2023, Vol 11, Issue 2
Abstract
Deflecting missile’s radar guidance or missile’s seeker by chaff is a common and effective defensive method which is used in military vessels. To counter this defensive measure, methods for recognition targets from chaff have been developed, which generally focus on the special features of chaff or target. These features should be able to perform properly in different operating conditions of the radar or different environmental conditions that change the behavior of the radar. But there is no effective feature that can distinguish target from chaff with appropriate accuracy in all conditions, and different features do not have the same performance in different environmental conditions or radar working parameters such as different waveforms and as a result their performance changes. In this article, by using artificial neural network, a structure is presented for detecting chaff and target in a radar, whose performance in different environmental conditions and waveforms has been better than the existing methods and significantly improved the accuracy of target detection from chaff and led to appropriate accuracy. Also, to improve the performance of the radar with a cognitive approach, its transmitted waveform is optimally selected and changed at each stage. For this purpose, a feedback neural network with LSTM layers has been used, which suggest the optimal waveform according to changes in the environment. The general structure of the proposed method is so that first of all, by using pre-processing on the received radar data, the features of symmetry, Doppler spread and AGCD are extracted, which contain information that separates the target from the chaff. Then, to remove the effect of noise on these features, thresholding is used. Finally, these features are used to correctly distinguish the target from the chaff in a feed-forward neural network with fully connected layers. On the other hand, in each step, by using the waveform suggestion network, the optimal waveform is selected and used for the next moment. Thus, the proposed structure is an intelligent machine that, in addition to recognizing the target from the signal at each moment, determines what the optimal waveform should be at the next moment. At the end, the effectiveness of this method in comparison to the previous methods, that is, thresholding on the characteristics of symmetry, Doppler and AGCD in distinguishing the target from the chaff is evaluated. It is observable the performance of the proposed system has made a significant improvement.
Authors and Affiliations
seied mehdi ziyaei, pouriya etezadifar, yaser noruzi
Keywords
Related Articles
- EP ID EP730065
- DOI -
- Views 51
- Downloads 0
The New Algorithm for The Blind Extraction of The Radio Frequency Fingerprint Using the Specific Features of High-Power Amplifier and Local Oscillator
Recently, the radio frequency fingerprint (RFF) has received attention in applications such as specific emiiter identification, detection of deception in navigation signals and detection of intrusion in wireless networks...
Developing an Improved Method for Malware Attack Detection in Cloud Computing using Ensemble Learning
Nowadays, detecting unusual events in the network has been the subject of many researches. Network traffic is huge and very large, and this leads to high data size and increased noise, which makes it very difficult to ex...
A way to predict the stock price of the Tehran Stock Exchange in relation to knowledge
In recent years, due to the profitability of the stock market in Iran, small and large investments were attracted to this market, but unfortunately, due to their lack of knowledge of the stock market and price forecastin...
Novel Spoofing Mitigation Method using Wavelet Transform Based on PSO Algorithm in the Acquisition Stage of GPS Receiver
The spoofing attack is one of the most serious interferences in the Global Positioning System (GPS). By propagating a signal structurally similar to the original GPS signal, the spoofers try to influence the function of...
Energy Aware Routing in the Internet of Things using improved Grasshopper Metaheuristic Algorithm
In most Internet of Things (IoT) applications, network nodes are limited in terms of energy source. Therefore, the need for innovative methods to eliminate energy loss which shortens the life of networks is fully felt in...