Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An Adaptive fast time radar receiving filter for minimization of clutter and time side-lobes
Download
index.pdf
Date
2013
Author
Özdemir, Seçil
Metadata
Show full item record
Item Usage Stats
235
views
96
downloads
Cite This
In this thesis, a maximum likelihood receiver to obtain the target range profile that uses the clutter prediction derived from the target-free previous observations is suggested as a fast time processor for pulse compression radar systems. The maximum likelihood receiver is proposed to overcome the range sidelobe problem, which is introduced by the pulse compression method. Conventional methods, such as the matched filter receiver, as fast time processor result in the targets with high radar cross sec- tion masking the low radar cross section targets at the neighboring range cells; since sidelobes of the matched filter is determined by the autocorrelation of the spreading code and linearly proportional to target signal power. An unbiased estimator, like the maximum likelihood receiver in this thesis work does not su↵er from such issues. In addition to that, to suppress the signal dependent interference, namely the clutter, at the output of fast time processor; the previous target-free observations are col- lected and utilized to predict the clutter signal for next time instant. This prediction is used in the maximum likelihood receiver. The clutter prediction is done for the stationary case and the internal clutter motion case, and their SINR performances with the maximum likelihood receiver are evaluated. In conclusion, such an approach managed to have an unbiased estimation of target range profile and the clutter suppression advantage in the fast time.
Subject Keywords
Radar
,
Radar
,
Radar receiving apparatus
,
Radar transmitters.
URI
http://etd.lib.metu.edu.tr/upload/12615325/index.pdf
https://hdl.handle.net/11511/22415
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Spectral and statistical analyses of experimental radar clutter data
Kahyaoğlu, Nazlı Deniz; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2010)
The performance of radar detection and imaging systems strongly depends on the characteristics of radar clutter. In order to improve the radar signal processing algorithms, successful analysis and modeling of radar clutter are required. For a successful model of radar clutter, both the spectral and statistical characteristics of the clutter should be revealed. Within the scope of this study, an experimental radar data acquisition system is established to analyze radar clutter. The hardware and the data proc...
A Study on the Performance of a Complementary Auxiliary Antenna Pattern for Maisel Sidelobe Blanker
DINLER, Dogancan; Candan, Çağatay; KOC, Sencer (2018-04-27)
The problem of coupling between probability of target blanking (P-TB) and probability of blanking (P-B) in Maisel sidelobe blanker (SLB) is addressed and a complementary auxiliary antenna pattern is proposed for phased array radar systems. The numerical results indicate that the complementary pattern provides an improvement on P-TB and P-B especially for the cases where antennas have poor mainlobe-to-sidelobe ratio.
Compressive sensing for radar target detection
Çağlıyan, Firuze; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2014)
Compressive sampling, also known as compressive sensing and sparse recovery, is a new type of sampling theory, which predicts that sparse signals and images can be reconstructed from far less amount of data than what was traditionally considered necessary (i.e. Nyquist/Shannon sampling theory). The theory has many applications such as design of new imaging systems, cameras, sensor networks and analog to digital converters. Several algorithms have been proposed for the measurement and recovery process of the...
Jammer cancelation by using space-time adaptive processing
Uysal, Halil; Severcan, Mete; Department of Electrical and Electronics Engineering (2011)
Space-Time Adaptive Processing (STAP) has been widely used in spaceborne and airborne radar platforms in order to track ground moving targets. Jammer is an hostile electronic countermeasure that is being used to degrade radar detection and tracking performance. STAP adapts radar’s antenna radiating pattern in order to reduce jamming effectiveness. Jamming power that enters the system is decreased with respect to the adapted radiation pattern. In this thesis, a generic STAP radar model is developed and imple...
Algebraic spectral moments based moving clutter parameter estimation and clutter suppression
Oktar, Onur; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2014)
In many modern radar systems, it is desired to detect the presence of targets in the interference which includes clutter and noise. Various signal processing techniques are proposed to effectively suppress the clutter and increase the signal to interference ratio. To achieve optimum suppression, radar system must know clutter characteristics and process the radar echoes based on these characteristics. For ground radars, the clutter environment characteristics are relatively stable and predictable. These cha...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Özdemir, “An Adaptive fast time radar receiving filter for minimization of clutter and time side-lobes,” M.S. - Master of Science, Middle East Technical University, 2013.