Autonomous Extraction of LPI Signals Using Time-Frequency Techniques

Today, many military users of radar are specifying Low Probability of Intercept (LPI) as an important technical and tactical requirement. The Low Probability of Intercept technique is based on the property of radar that due to its low power, wide bandwidth, frequency variability and other design attributes makes it difficult to be detected and classify by means of conventional Electronic Support Measure/Electronic Intelligence (ESM/ELINT) systems. LPI radar attempts to provide detection of targets at longer ranges than intercept receivers can accomplish detection of the radar. The success of LPI radar is measured by how hard it is for the receiver to detect the radar emission parameters. The Electronic warfare (EW) scenario has become complex and in particular the radar frequency spectrum consists of different types of digital modulation. This paper deals one of the technique for autonomous extraction of the parameters of the Low Probability of Intercept (LPI) signal.