Chinese scientists allegedly develop ‘clothes rack’ like anti-stealth radar

However, Yang’s team’s metric-wave radar system is made up of two identical antennas on the same roof, about 20 meters apart.

After one antenna sent out a burst of low-frequency electromagnetic pulses, the two antennas, which were connected by an optical wire, would work together to detect the signals that came back.

Chinese scientists allegedly develop ‘clothes rack’ like anti-stealth radar

Example of an military radar system.

Researchers say that the relatively large coverage area of the dual-antenna array made it possible for the device to pick up more long waves reflected off a target.

The distance between the antennas also produced extra noise or erroneous signals that might have harmed accuracy.

Although the concept of splitting a large metric wave antenna into multiple smaller ones has existed since the 1980s, Yang claims that real applications of the technology are still uncommon due to instability and a degree of inaccuracy.

The new radar also has some clever software

The Chinese researchers behind the new radar has also claimed that by analyzing data gathered by antennas in various places, they had built an algorithm that could separate useful information from loud background noise.

Yang’s team said that the new radar sent out more data than usual, so they had to use four locally made Hunxin 1 chips.

Chinese scientists allegedly develop ‘clothes rack’ like anti-stealth radar

U.S. Anti-Aircraft radar system.

The Hunxin 1 is a processor the size of a coin designed and made in China. It was made with 55nm technology, which is too old to be affected by US sanctions against China. It has been widely used in Chinese cars, factories, and military equipment for almost a decade because it is cheap, works well, and stays stable in tough situations.

“The chip has a quad-core parallel processing structure with powerful floating-point computing capabilities, which can very well meet the application requirements of high-speed real-time signal processing,” Yang said.

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