Jose Miguel Tarongi IGARSS11 Final.ppt
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The document describes an experimental study of a radio frequency interference (RFI) detection algorithm for microwave radiometry. The algorithm uses 2D wavelet-based filtering on a spectrogram to detect sinusoidal and impulse RFI. It then applies frequency and time averaging to remove residual RFI. Testing was performed on L-band radiometer measurements containing continuous and impulse RFI. The algorithm successfully identified and removed RFI from the spectrogram through 2D wavelet filtering and further frequency/time averaging.
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![Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[1]. Tarongi, J. M ; Camps, A.; “Radio Frequency Interference Detection Algorithm Based on Spectrogram Analysis”, IGARSS 2010, 2010 , 2 , 2499-2502. [2] Camps, A.; Tarongí, J.M.; RFI Mitigation in Microwave Radiometry Using Wavelets. Algorithms 2009 , 2 , 1248-1262. c](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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The Building of Pulsed NQR/NMR Spectrometer
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SHIPS MATCHING BASED ON AN ADAPTIVE ACOUSTIC SPECTRUM SIGNATURE DETECTION ALG...
In this paper, an acoustic spectrum signature tracks matching algorithm based on the Manhattan distance and the Euclidean distance of signature vectors, and a multi-frame fusion algorithm are proposed for reliable real time detection and matching of boat generated acoustic signal spectrum signatures. The
experiments results have shown that the proposed tracks matching algorithm has the ability to discriminate the tracks from different ships and the ability of matching of the tracks from the same ship; and the spectrum signature detection algorithm has captured the critical features of ship generated acoustic
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Introduction to wavelet transforms.
History,
Mathematical development,
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14. doppler radar and mti 2014
Doppler radar and moving target indication (MTI) systems use the Doppler effect to distinguish between stationary clutter and moving targets. MTI processors exploit differences in Doppler spectra to filter out clutter based on differing velocities. Common MTI techniques include delay-line cancellers, which subtract successive pulses to suppress constant clutter while preserving Doppler-shifted moving targets, and staggered PRFs, which combine responses from multiple PRFs to avoid blind speeds where clutter is not rejected. Advanced MTI methods such as clutter locking further improve performance by compensating for mean clutter velocities.
What's hot (18)
Synchronous Time and Frequency Domain Analysis of Embedded Systems
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A Utilisation of Improved Gabor Transform for Harmonic Signals Detection and ...
This paper presents a utilization of improved Gabor transform for harmonic signals detection and classification analysis in power distribution system. The Gabor transform is one of time frequency distribution technique with a capability of representing signals in jointly time-frequency domain and known as time frequency representation (TFR). The estimation of spectral information can be obtained from TFR in order to identify the characteristics of the signals. The detection and classification of harmonic signals for 100 unique signals with numerous characteristic of harmonics with support of rule-based classifier and threshold setting that been referred to IEEE standard 1159 2009. The accuracy of proposed method is determined by using MAPE and the outcome demonstrate that the method gives high accuracy of harmonic signals classification. Additionally, Gabor transform also gives 100 percent correct classification of harmonic signals. It is verified that the proposed method is accurate and cost efficient in detecting and classifying harmonic signals in distribution system.
A Utilisation of Improved Gabor Transform for Harmonic Signals Detection and ...
his paper presents a utilization of improved Gabor transform for harmonic signals detection and classification analysis in power distribution system. The Gabor transform is one of time frequency distribution technique with a capability of representing signals in jointly time-frequency domain and known as time frequency representation (TFR). The estimation of spectral
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Ijsrdv1 i7021
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Impact of Clipping and Filtering on Peak to Average Power Ratio of OFDM System
Orthogonal Frequency Division Multiplexing (OFDM) is an emerging field of research in the field of 4G broadband wireless communications due to its robustness against multipath fading and relatively simple implementation. Peak to Average Power Ratio (PAPR) is the limiting factor for an OFDM system as it consists of large number of independent subcarriers as a result of which the amplitude of such a signal can have high peak values which degrades the system performance. Such a signal when amplified by a Power Amplifier without processing results spectral regrowth and intermodulation among subcarrier. Hence this non linearity destroys the orthogonally of the OFDM signal and introduces out-of-band radiation and in band distortions causing significant performance degradation. The clipping and filtering method is analysed which is an efficient and simple method to reduce the PAPR. We have shown the effects of clipping and filtering on the performance of OFDM, including the power spectral density, the crest factor, and the bit-error rate.
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AN OVERVIEW OF PEAK-TO-AVERAGE POWER RATIO REDUCTION TECHNIQUES FOR OFDM SIGNALS
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UCF Wireless SAW Sensor Systems
Why Use SAW Sensors and Tags?
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FT NMR
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A Critical Review of Time-frequency Distribution Analysis for Detection and C...
This paper presents a critical review of time-frequency distributions (TFDs) analysis for detection and classification of harmonic signal. 100 unique harmonic signals comprise of numerous characteristic are detected and classified by using spectrogram, Gabor transform and S-transform. The rulebased classifier and the threshold settings of the analysis are according to the IEEE Standard 1159 2009. The best TFD for harmonic signals detection and classification is selected through performance analysis with regards to the accuracy, computational complexity and memory size that been used during the analysis.
Ippen nes osa 9-15-11
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Moving_Target_Indicator_Radar_(MTI)(4).ppt
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Design of matched filter for radar applications
The aim of this paper is to present the details of signal processing techniques in Military RADARS . These
techniques are strongly based on mathematics and specially on stochastic processes. Detecting a target in
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Wave Frequency Invariance by Mathematically Based - Model Technology
Frequency Invariance is an interesting complexity saving property that is shared by all the digital active
suppression method described in this paper .It follows from their same basic construction with silent
measurement tones and is possible due to the properties of the DFT. Frequency invariance applies both to the
model based. It means that if the RF signal and to the non –model based cancellers. It means that if the RF
signal changes its frequency location, the RFI estimate coefficient represented by the matrix K which are dived
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cancellers can be found in respectively. Author complexity advantage with frequency invariance is that RFI
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