On the Impact of Fast-Time and Slow-Time Preprocessing Operations on Adaptive Target Detectors

Date

2018-04-27

Author

Güvensen, Gökhan Muzaffer
Candan, Çağatay

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Conventional adaptive detectors assume independent and identically distributed (iid) secondary data vectors which is not contaminated with the target signal. Yet, the input to the adaptive detectors are produced by preprocessing the raw data in fast-time and slow-time dimensions, in general. This paper mainly aims to study the impact of fast-time matched filtering on the adaptive target detectors, namely Kelly's detector, adaptive matched filter (AMF) and adaptive coherence estimator (ACE). It is shown that the application of matched filtering prior to the adaptive detection violates the requirements of conventional adaptive detectors unless the range side-lobes of the radar pulse is zero at all lags. An alternative preprocessing method, based on an unitary transformation mapping, is suggested and it is shown the alternative approach exactly satisfies the requirements. Numerical comparisons are provided to examine the performance gain of the suggested approach in comparison with the conventional one, i.e. fast-time matched filtering.

Subject Keywords

Adaptive detectors, Kelly's detector, Adaptive matched filter, Adaptive coherence estimator

URI

https://hdl.handle.net/11511/37748

DOI

https://doi.org/10.1109/radar.2018.8378730

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

G. M. Güvensen and Ç. Candan, “On the Impact of Fast-Time and Slow-Time Preprocessing Operations on Adaptive Target Detectors,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37748.