Radar Signal Detection Simulation
Simulation of radar signal detection examining relationships between false alarm probability, detection probability, and signal-to-noise ratio (SNR)
Explore MATLAB source code curated for "检测概率" with clean implementations, documentation, and examples.
Simulation of radar signal detection examining relationships between false alarm probability, detection probability, and signal-to-noise ratio (SNR)
Performance analysis of M-OMP (Multipath Orthogonal Matching Pursuit), MP (Matching Pursuit), and OMP (Orthogonal Matching Pursuit) algorithms in compressed sensing, focusing on detection probability evaluation and implementation characteristics.
Implementation of FFT-based non-coherent accumulation pseudo-code acquisition with detection probability calculation across various signal-to-noise ratio conditions, featuring signal processing workflow and performance analysis algorithms.
Implementing sliding correlation for pseudo-code acquisition and calculating detection probabilities across various signal-to-noise ratios (SNR) conditions.
Energy detection-based collaborative spectrum sensing in cognitive radio systems, analyzing the relationship between signal-to-noise ratio (SNR) and detection probability. The implementation compares theoretical and simulated values for both single-node and three-node configurations, demonstrating system performance through MATLAB-based simulations using energy detection algorithms and collaborative decision fusion techniques.
Implementation Analysis of Detection Probability and Constant False Alarm Rate Relationship in Dynamic Programming Based Track-Before-Detect Algorithms
Simulation and analysis of energy-aware detection probability and false alarm probability for individual nodes using MATLAB algorithms and performance optimization techniques
Energy detection in cognitive radio systems using BPSK modulation, focusing on detection probability and false alarm probability with algorithm implementation insights
Variation curves of detection probability versus false alarm probability under different signal-to-noise ratio (SNR) conditions in cognitive radio networks, with implementation insights for spectrum sensing algorithms.
A partial correlation-based capture program implementation using Monte Carlo simulation to calculate detection probability, featuring comprehensive environmental and interference factor modeling.