On Time Compression Overlap-Add Technique in Linear Frequency Modulation Pulse Compression Radar Systems: Design and Performance Evaluation Article Swipe
Ahmed Youssef
,
Peter F. Driessen
,
Fayez Gebali
,
Belaid Moa
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/access.2017.2771799
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/access.2017.2771799
This paper introduces a novel approach to incorporate the time compression overlap-add (TC-OLA) technique used in communication systems into linear frequency modulation pulse compression (LFM-PC) radar systems. This technique significantly boosts the signal-to-noise ratio (SNR) and provides a robust processing gain compared with the traditional radar LFM-PC systems. In addition, TC-OLA provides a better immunity against powerful jamming techniques. At the transmitter side, we divide a digitized LFM chirp signal into a controlled number of overlapping segments. We then speed up each segment by increasing the sampling rate to account for the segment overlap. At the receiver side, we apply OLA to reconstruct the signal with a much higher gain. To simulate and evaluate the performance of the new system, we extend the conventional LFM-PC radar model, which includes matched filter (MF) processor, moving target detector (MTD), and two common constant false alarm rate (CFAR) algorithms, by suitably adding TC and OLA blocks at the transmitter and receiver, respectively. Using the TC-OLA-based LFM radar system, we have control over the SNR level and the spectrum spread while preserving the same Doppler shift and target time delay as the conventional LFM radar system. Furthermore, we transform LFM chirp signal into a novel TC signal that inherits LFM properties while possessing better immunity to jamming. Moreover, the proposed radar model relies on high sample rates only when needed and, therefore, does not require changing MF, MTD, and CFAR as is the case for a wideband LFM radar with the same processing gain. Detailed comparisons between the conventional LFM and the wideband LFM radars against the proposed model are also presented.
Related Topics
Concepts
Computer science
Chirp
Pulse compression
Radar
Matched filter
Frequency modulation
Constant false alarm rate
Pulse-Doppler radar
Continuous-wave radar
Transmitter
Electronic engineering
Jamming
Detector
Algorithm
Telecommunications
Bandwidth (computing)
Radar imaging
Engineering
Physics
Optics
Thermodynamics
Channel (broadcasting)
Laser
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2017.2771799
- OA Status
- gold
- Cited By
- 16
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2767287255
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2767287255Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2017.2771799Digital Object Identifier
- Title
-
On Time Compression Overlap-Add Technique in Linear Frequency Modulation Pulse Compression Radar Systems: Design and Performance EvaluationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-01-01Full publication date if available
- Authors
-
Ahmed Youssef, Peter F. Driessen, Fayez Gebali, Belaid MoaList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2017.2771799Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/access.2017.2771799Direct OA link when available
- Concepts
-
Computer science, Chirp, Pulse compression, Radar, Matched filter, Frequency modulation, Constant false alarm rate, Pulse-Doppler radar, Continuous-wave radar, Transmitter, Electronic engineering, Jamming, Detector, Algorithm, Telecommunications, Bandwidth (computing), Radar imaging, Engineering, Physics, Optics, Thermodynamics, Channel (broadcasting), LaserTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2, 2023: 2, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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