NUSC2-WH

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NUSC2-WH, a vibration-based acoustic early warning system, is used to detect and discriminate, ranging from aircraft and crashing missiles to small munitions and machinery noise. It uses an array of receivers designed to help identify and record signals in the frequency spectrum range of 10 Hz - 30 KHz. The system also includes support hardware and signal processing algorithms required to distinguish signals from background noise.

The most important components of the NUSC2-WH are the receivers. They are designed to detect and separate signals within the mentioned frequency range. Today, they are typically grouped into five different array configurations, each of which is tailored to the type of source to be detected. For example, there are specialized receivers for detecting aircraft, missiles, vehicles, submarines, and other small sources. The receivers are also capable of receiving signals from both sides of an array, allowing for far-reaching coverage.

The NUSC2-WH also includes sophisticated signal processing algorithms that allow it to analyze the array of signals. These algorithms identify and classify different types of signals according to their frequency and waveforms. This information is then used by the system to determine the type and location of the source. To improve accuracy, the system is capable of employing multiple signal processing techniques simultaneously.

In addition, the NUSC2-WH is equipped with support hardware. This includes amplifiers, antennas, and radio transmitters, which help to maximize the signal-to-noise ratio of the system. Moreover, the system includes data acquisition software that enables data logging and analysis. This software is necessary for tuning the system to the particular environment and application, and for training algorithms for detecting specific signals.

NUSC2-WH is an invaluable tool in defending against airborne threats. It is extremely flexible, and its short response time makes it an ideal system for detecting and responding to potential threats. Its capability of detecting both near and far sources, as well as its ability to distinguish between different sources, makes it a powerful security asset in any application.

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