You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
16 May 2005An improved method for helicopter categorization
Effectiveness of modern weapon systems demands that it is important to distinguish between friends and foes as early as possible. Radar signal based helicopter categorization is a challenging task for all types of radars. Airborne pulse Doppler radar with an appropriate digital signal processing unit has a good potential to perform categorization or even classification, providing that radar parameters are carefully fixed. Moreover, some information about the main rotor parameters of interesting helicopter types must also be known in advance.
The idea of this paper is to present a helicopter categorization method, which is based on estimates of the main rotor blade tip velocity and the time interval between successive main rotor blade flashes. Both incoherent integration and conventional coherent integration play an important role in the new method. Moreover, a new edge detection algorithm is applied to coherently integrated signal. Simulations are performed in order to show the effectiveness of the method.
The alert did not successfully save. Please try again later.
Jani Tikkinen, Elina Helander, Timo Hintikka, Ari Visa, "An improved method for helicopter categorization," Proc. SPIE 5788, Radar Sensor Technology IX, (16 May 2005); https://doi.org/10.1117/12.602467