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Proceedings Paper

Target discrimination technique utilizing noise waveforms
Author(s): Gordon Woodington; Mark DeLuca; Richard Moro; Daniel Lemus; Russell Vela; Ram Narayanan
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Paper Abstract

Noise waveforms generated using low cost diodes are a simple way for radars to transmit a wideband (> 4 GHz) multi-bit pseudorandom code for use in a cross correlation receiver. This type of waveform also has the advantage of being difficult to intercept and is less prone to interfere with adjacent systems. Radar designed to operate over this wide frequency range can take advantage of unique target Radar Cross Section (RCS) ripple versus frequency for objects of different materials and sizes. Specifically the periodicity and amplitude of the ripple is dependent on the shape and size of a target. Since background clutter does not display this variation, RCS variation determines whether a known target is present in a return. This paper will present the radar hardware and signal processing techniques used to maximize a target's unique spectral response against a cluttered background. The system operates CW over a 4-8 GHz bandwidth requiring the need to address issues regarding range resolution and far out undesired returns. Lessons learned from field observations and mitigation techniques incorporated in the system are included. This paper also deals with the signal processing technique used for detection, then discrimination. Detection thresholds are set and triggered by a simple correlation peak level. Discrimination involves inspection of the spectral return. A comparison performed in real time to a stored library value determines the presence of known objects. Measured data provided demonstrates the ability of the radar to discriminate multiple targets against multiple backgrounds.

Paper Details

Date Published: 21 June 2011
PDF: 8 pages
Proc. SPIE 8021, Radar Sensor Technology XV, 80211D (21 June 2011); doi: 10.1117/12.887647
Show Author Affiliations
Gordon Woodington, Raytheon Co. (United States)
Mark DeLuca, Raytheon Co. (United States)
Richard Moro, Raytheon Co. (United States)
Daniel Lemus, Raytheon Co. (United States)
Russell Vela, The Pennsylvania State Univ. (United States)
Ram Narayanan, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 8021:
Radar Sensor Technology XV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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