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Radar

Eigenor Corporation’s patented and patent pending radar measurement algorithm and its multipurpose software platform solve certain fundamental problems with traditional radar algorithms. For example, it will fully solve the Range-Doppler dilemma without any theoretical limitations. And with proper radar equipment, the practical limitations set by the radar hardware will not impose limitations for practical applications either.

The Range-Doppler dilemma has been a big problem for Doppler radars ever since their invention. According to the dilemma, if you want to have a large radar measurement range, then the maximum velocity of objects that can be measured can only be small. And if you want to measure high velocity objects, then the measuring range of the radar must be small. You cannot have both - or so it was.

For example, a weather radar in Finland has a 600 km range but it can only measure wind speeds of a mere 6 m/s or less. With the Eigenor solution, the radar could measure within the same 600 km radius hardest hurricane level wind speeds without problems.

Other benefits of the Eigenor solution include that due to the algorithm it will receive and process more information about the radar measurements. This will allow the system to recognize and distinguish moving subjects from the background with greater accuracy, whether the background is land, sea or other.

Furthermore, this will also allow us to utilize even quite low intensity radar echoes, and to separate them from the background noise of similar intensities.

Eigenor Corporation does not manufacture radar equipment or hardware. It produces software components and provides integration with existing radar equipment so that these can be made to use this algorithm and to have its benefits. The system can be integrated into radar manufacturer’s native systems as a software component. Alternatively, it can be operated from separate computers which would handle the triggering of the radar pulses and the sampling and analyzing the received radar signal.