JOURNAL ARTICLE

Synthetic Aperture Radar

William Brown

Year: 1967 Journal:   IEEE Transactions on Aerospace and Electronic Systems Vol: AES-3 (2)Pages: 217-229   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The general theory of side-looking synthetic aperture radar systems is developed. A simple circuit-theory model is developed; the geometry of the system determines the nature of the prefilter and the receiver (or processor) is the postfilter. The complex distributed reflectivity density appears as the input, and receiver noise is first considered as the interference which limits performance. Analysis and optimization are carried out for three performance criteria (resolution, signal-to-noise ratio, and least squares estimation of the target field). The optimum synthetic aperture length is derived in terms of the noise level and average transmitted power. Range-Doppler ambiguity limitations and optical processing are discussed briefly. The synthetic aperture concept for rotating target fields is described. It is observed that, for a physical aperture, a side-looking radar, and a rotating target field, the azimuth resolution is λ/α where α is the change in aspect angle over which the target field is viewed, The effects of phase errors on azimuth resolution are derived in terms of the power density spectrum of the derivative of the phase errors and the performance in the absence of phase errors.

Keywords:
Synthetic aperture radar Azimuth Side looking airborne radar Noise (video) Optics Aperture (computer memory) Pulse-Doppler radar Inverse synthetic aperture radar Radar imaging Radar Computer science Interference (communication) Signal-to-noise ratio (imaging) Acoustics Physics Telecommunications Artificial intelligence

Metrics

254
Cited By
8.45
FWCI (Field Weighted Citation Impact)
10
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Antenna Design and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced SAR Imaging Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
Radar Systems and Signal Processing
Physical Sciences →  Engineering →  Aerospace Engineering

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