Device and method for classifying objects in an environmentally

Details Device and method for classifying objects in an environmentally Device and method for classifying objects in an environmentally

1998-02-13

1999-09-07

Sotomayor, John B.

Communications: directive radio wave systems and devices (e.g.,

Return signal controls radar system

Receiver

36414803, 382156, G01S 741

Patent

active

059493674

ABSTRACT:
Neural networks are used to classify objects automatically by means of Doppler-broadened radar echo signals. The classification device KK contains a neural network (NET, NET2) which has an input layer (IL) of input nodes (IN1, . . . , IN57) for features (M) of the Doppler-broadened radar echo signals, and an output layer (OL) of output nodes (ON1, ON2, ON3) for predetermined classes to which the objects can be allocated. The neural network (NET, NET2) is adapted to the external conditions prevailing at the time of the classification operation. The adaptation takes place either via accessible input nodes (ZN1, ZN2) into which control information (SI) can be entered, and which cause the neural network (NET) to adapt to one or to several external influence factors, or via a selection device (SEL) which, from the parameters (P1, . . . , P4) of several neural networks stored in a memory (MEM), which are trained with training data under respectively different conditions of external influence factors, selects the one most similar to the prevailing conditions.

REFERENCES:
patent: 4874963 (1989-10-01), Alspector
patent: 4897811 (1990-01-01), Scofield
patent: 5003490 (1991-03-01), Castelaz et al.
patent: 5247303 (1993-09-01), Cornelius et al.
patent: 5467428 (1995-11-01), Ulug
patent: 5729662 (1998-03-01), Rozmus
patent: 5761383 (1998-06-01), Engel et al.
Radig, Bernd: "Mustererkennung 1991" 13. DAGM Symposium Munchen 9.-11 Okt. 1991, pp. 1-18.
"A Neural Network Approach to Doppler-Based Target Classification" by Madrid, et al. Universidad Politecnica de Madrid, Spain, pp. 450-453.
"An Automatic Ship Classification System for ISAR Imagery", SPIE vol. 2492 1995, pp. 373-388.
"The Cascade-Correlation Learning Architecture" by Fahlman et al, Aug. 29, 1991, School of Computer Science, Carnegie Mellon University, pp. 1-13.

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