A Novel Dynamic Programming Algorithm for Track-Before-Detect in Radar Systems

In this paper we present a novel procedure for multi-frame detection in radar systems. The proposed architecture consists of a pre-processing stage, which extracts a set of candidate alarms (or plots) from the raw data measurements (e.g., this can be the Detector and Plot-Extractor of common radar s...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 61; no. 10; pp. 2608 - 2619
Main Authors: Grossi, Emanuele, Lops, Marco, Venturino, Luca
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.05.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Alarms
Algorithms
Applied sciences
Complexity
Detection, estimation, filtering, equalization, prediction
Detector
Dynamic programming
Dynamical systems
Dynamics
Exact sciences and technology
Heuristic algorithms
Information theory
Information, signal and communications theory
Microprocessors
multi-frame detection (MFD)
plot extractor
Radar
Radar detection
Radar systems
Radar tracking
Signal and communications theory
Signal, noise
Studies
Target tracking
Telecommunications and information theory
track-before-detect (TBD)
tracking
Trajectory
Performance evaluation
Target tracking
track-before-detect (TBD)
Measurement sensor
multi-frame detection (MFD)
radar systems
State space
Algorithm
tracking
Detector
Discretization
Algorithm performance
Information processing
Radar
plot extractor
Signal processing
Data fusion
Dynamic programming
Target detection
ISSN:1053-587X, 1941-0476
Online Access:Get full text
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Description
Summary:In this paper we present a novel procedure for multi-frame detection in radar systems. The proposed architecture consists of a pre-processing stage, which extracts a set of candidate alarms (or plots) from the raw data measurements (e.g., this can be the Detector and Plot-Extractor of common radar systems), and a track-before-detect (TBD) processor, which jointly elaborates observations from multiple scans (or frames) and confirms reliable plots. A computationally efficient dynamic programming algorithm for the TBD processor is derived, which does not require a discretization of the state space and operates directly on the input plot-lists. Finally, a simple algorithm to solve possible data association problems arising at the track-formation step is given, and a thorough complexity and performance analysis is provided, showing that large detection gains with respect to the standard radar processing are achievable with negligible complexity increase.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2013.2251338