Learn More
In this letter, we present a novel chaos-based imaging technique. The proposed technique has good range-Doppler resolution and excellent side lobe suppression characteristics that promise immense potential for high-resolution imaging applications. We derive the range and Doppler resolution functions of the proposed technique and compare it with that of(More)
This work presents a robust chaos radar system for collision detection and vehicular ranging in intelligent transportation systems (ITS). The robustness of the scheme lies in its multipath mitigation characteristics. By exploiting the spread spectrum (SS) nature of chaos, a high resolution radar system is designed. A cost effective receiver architecture for(More)
A novel constant false alarm rate (CFAR) intrusion detection method based on support vector machine (SVM) is proposed in this paper. By introducing the normal network traffic into an SVM neural network, the forthcoming traffic data can be predicted, therefore enhancing the detectability of network attacks. The CFAR threshold of the proposed detector is also(More)
In this paper, we propose an expectation maximization (EM) based approach for semiblind identification of linear moving average (MA) systems. The system is driven by chaotic signals and a robust EM based estimator is formulated to estimate the system parameters and the driving chaotic signal. It is shown through numerical simulations that the proposed EM(More)
In this paper, we present a novel chaos based ultra-wideband (UWB) imaging radar for surveillance applications in a closed environment. The proposed chaos based UWB imaging radar has good range resolution and excellent range-sidelobe suppression characteristics that enhance its imaging performance. The imaging performance of the proposed radar is better(More)
  • 1