Multiple radar targets detection by exploiting induced amplitude modulation

This work deals with the problem of detecting and estimating multiple radar targets present in the same range-azimuth resolution cell of a surveillance radar system with a mechanically rotating antenna. In the first part of the work, we tackled the problem of estimating target complex amplitudes, Do...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2004-04, Vol.52 (4), p.903-913
Main Authors: Gini, F., Bordoni, F., Farina, A.
Format: Article
Language:English
Subjects:
Algorithms
Amplitude estimation
Amplitude modulation
Applied sciences
Asymptotic properties
Computer simulation
Detection, estimation, filtering, equalization, prediction
Direction of arrival estimation
Doppler radar
Estimating
Exact sciences and technology
Frequency estimation
Information, signal and communications theory
Monte Carlo methods
Monte Carlo simulation
Object detection
Radar antennas
Radar detection
Radar targets
Signal and communications theory
Signal, noise
Statistical analysis
Statistics
Studies
Telecommunications and information theory
Testing
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Summary:This work deals with the problem of detecting and estimating multiple radar targets present in the same range-azimuth resolution cell of a surveillance radar system with a mechanically rotating antenna. In the first part of the work, we tackled the problem of estimating target complex amplitudes, Doppler frequencies, and directions of arrival, and a consistent estimator based on the asymptotic maximum likelihood (AML) method was derived. In this second part, we tackle the "detection problem," which consists of determining the number of targets. First, the target parameters are estimated, assuming a maximum number of possible targets. Subsequently, these estimates are used in a successive hypotheses test procedure. The statistic of the test at each step of the procedure is derived by using an asymptotic expression of the generalized likelihood ratio test (GLRT) statistic. Performance of the proposed algorithm is investigated through both asymptotical analysis (as concerning the probability of false alarm) and Monte Carlo simulation.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2004.823484