Novel adaptive digital signal processing algorithm for a stationary reticle seeker

JeongSu Oh; KyoungSoo Doo; SurngGabb Jahng; DongSun Seo; Jong Soo Choi

doi:10.1117/1.1290581

1 October 2000 Novel adaptive digital signal processing algorithm for a stationary reticle seeker

JeongSu Oh, KyoungSoo Doo, SurngGabb Jahng, DongSun Seo, Jong Soo Choi

Optical Engineering, Vol. 39, Issue 10, (October 2000). https://doi.org/10.1117/1.1290581

Conventional stationary reticle seeker uses an analog signal processing technology to extract a target position in the field of view. The analog technology is optimized for only frequency modulation signals, which makes it difficult to use various and adaptive signal processing, and causes the performance limit of the conventional technology. We propose a novel adaptive digital signal processing algorithm to overcome the performance limit. The proposed algorithm classifies the modulation signals into the FM and FM/AM signals and applies a different signal processing algorithm, which is optimized for the modulation characteristics of each signal. The algorithm also employs an adaptive clipping level to minimize the noise effect. Our simulation results show that the proposed algorithm is superior to the conventional one in terms of the linearity of the static gain curve, tracking performance, and robustness against noise.

Citation Download Citation

JeongSu Oh, KyoungSoo Doo, SurngGabb Jahng, DongSun Seo, and Jong Soo Choi "Novel adaptive digital signal processing algorithm for a stationary reticle seeker," Optical Engineering 39(10), (1 October 2000). https://doi.org/10.1117/1.1290581

Published: 1 October 2000

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available