Time Reversal Based Active Array Source Localization

Source localization especially direction-of-arrival (DOA) estimation using sensor arrays is of considerable interest in both classical array signal processing and radar applications. Most radar systems are designed under the line-of-sight (LOS) assumption with multipath echos treated as undesired cl...

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Veröffentlicht in:IEEE transactions on signal processing Jg. 59; H. 6; S. 2655 - 2668
Hauptverfasser: Foroozan, F, Asif, A
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.06.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Antenna arrays
Applied sciences
Array signal processing
Arrays
Backscatter
Cramér-Rao bounds
Detection, estimation, filtering, equalization, prediction
Direction of arrival estimation
direction-of-arrival (DOA) estimation
Estimation
Estimators
Exact sciences and technology
Exact solutions
Information, signal and communications theory
Localization
Miscellaneous
multipath
Position (location)
Probes
Radar
range estimation
Signal and communications theory
Signal processing
Signal to noise ratio
Signal, noise
source localization
Telecommunications and information theory
time reversal
Line of sight propagation
Parameter estimation
Direction-of-arrival estimation
Array signal processing
multipath
Signal estimation
range estimation
Clutter
Adaptive method
direction-of-arrival (DOA) estimation
Terms—Array signal processing
Radar
Antenna array
Target detection
Signal detection
Cramer Rao inequality
Time reversal
Cramér-Rao bounds
Space diversity
System design
Radar applications
Algorithm
Source localization
Analytical method
Signal processing
Numerical simulation
Distance measurement
Sensor array
Signal to noise ratio
ISSN:1053-587X, 1941-0476
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Beschreibung
Zusammenfassung:Source localization especially direction-of-arrival (DOA) estimation using sensor arrays is of considerable interest in both classical array signal processing and radar applications. Most radar systems are designed under the line-of-sight (LOS) assumption with multipath echos treated as undesired clutter noise. Strong multipath, therefore, has a negative impact on the resolution of the radar systems and their ability in accurately localizing the target. Rather than treating multipath as a detrimental effect, the paper introduces time reversal (TR) to exploit spatial/multipath diversity in improving the capability of the existing localization algorithms. In particular, we design TR based range and DOA estimators that adaptively adjust the probing radar waveforms to the multipath characteristics of the environment. The benefits of the spatial/multipath diversity in the proposed DOA and range estimators are quantified by deriving the respective Cramér-Rao bounds (CRB) and comparing them with the analytical expressions for their conventional counterparts. Numerical simulations also confirm the benefit of applying TR to source localization algorithms especially at low signal-to-noise ratios below -5 dB.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2011.2128317