Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
100K - 1M
License:
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Verified signatureThe RadPat-50K dataset can be regenerated from first principles using standard array factor formulations. The following procedure was used: 1. Environment Setup Install Python (≥3.9) along with the required packages: numpy, scipy, matplotlib, and pandas. 2. Array Configuration A uniform linear array (ULA) was considered with varying numbers of elements and inter-element spacings. The number of elements was selected from N = {4, 8, 12, 16, 24, 32, 48, 64}. Inter-element spacings were chosen from values such as 0.25λ, 0.5λ, 0.75λ, and 1λ. Steering angles were selected from −60°, −45°, −30°, −15°, 0°, 15°, 30°, 45°, and 60°. 3. Weighting Schemes Multiple excitation tapers were applied to control sidelobe levels and beamwidth. The following weighting functions were used: uniform, binomial, cosine, Kaiser, Hamming, Hann, Blackman, and exponential. 4. Pattern Computation For each configuration, the array factor was computed and radiation patterns were generated in both rectangular (dB vs. an…65f23b8 -
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Verified signature📡 RadPat-50K: A Large-Scale Benchmark for Antenna Array Radiation Patterns RadPat-50K is a large-scale synthetic dataset of 50,000 radiation patterns generated for Uniform Linear Arrays (ULA). Each sample includes polar plots and rectangular plots of the array factor, along with metadata for design and performance parameters. 📊 Dataset Highlights • Size: 50,000 radiation patterns • Array Elements (N): 4, 8, 12, 16, 24, 32, 48, 64 • Element Spacing (λ): 0.25, 0.5, 0.75, 1.0 • Steering Angles (°): –60, –45, –30, –15, 0, 15, 30, 45, 60 • Weighting Schemes: o Uniform o Binomial o Cosine o Kaiser o Hamming o Hann o Blackman o Exponential • Variations (for diversity): o ⚡ Amplitude noise o 📐 Phase noise o 🎯 Steering jitter 🔬 Applications This dataset is well-suited for research in machine learning, deep learning, and signal processing, including: • 📑 Antenna pattern classification • 🎛️ Beamforming analysis • 🚨 Grating lobe detection • 🏗️ Data-driven array design ___________________…9e8765f -
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