This paper studies the interception and analysis technology of battlefield photoelectric threat signal based on the principle of photoelectric countermeasure reconnaissance and warning. The designed laser warning signal decoding and identifying experimental system is composed of laser target simulation designator and laser decoding analyzer. Each part includes hardware and control software module, the laser target simulation designator is used to generate the coded laser of semi-active guidance weapon in the specified format, the laser decoding analyzer is used to receive, preprocess, decode, analyze and identify the coded laser signal, obtain and display the laser coding, the closed-loop system can facilitate the experiment of laser warning and the verification research of relevant algorithms.
The photon counting lidar uses a single-photon detector with extremely high sensitivity, which can increase the sensitivity of the lidar system by 2-3 orders of magnitude. However, the use of a single photon detector makes the noise amplitude the same as the signal amplitude. It cannot be filtered by the threshold comparison method on the circuit. The output is a 0/1 digitized signal, and the trigger will output an indistinguishable saturation avalanche pulse. So it is impossible to distinguish whether it is a signal or a noise trigger. In clear daylight, the background noise of the sun is unavoidable. In this environment, the false alarm probability of photon lidar is very high. Therefore, the false alarm probability is the research focus of pulsed photon lidar. We use the Monte Carlo method to simulate the detection process according to the statistical characteristics of the signal and noise. We know that multi-pulse accumulation can effectively reduce the probability of false alarms. In this article, we propose an improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to classify signals and noise, which can further reduce noise on the basis of multi-pulse and achieve a lower false alarm probability.
With the development of electro-optical countermeasure equipment and military combat training needs, we propose to build a comprehensive test system. It analyzes equipment test requirements and system architecture, introduces the general composition and main functions of the comprehensive test system, and discusses the key test contents and test equipment. The integrated test system is convenient for equipment use and support personnel to monitor, evaluate and predict the equipment indicators and state, which is also providing data support for electro-optical countermeasure equipment operation, training, maintenance and management in order to continuously improve the equipment and support technology innovation.
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