Harmonic tonal detectors based on the BOGA

摘要: Tonals generated by machineries with rotating elements typically have a harmonic structure unknown fundamental frequencies, amplitude, order and phase. Detecting this type of signals is great importance to numerous engineering applications. In the frequency domain, tonals are represented few which appear in blocks, related one or more frequencies. This block-sparsity property content suggests alternative ways recover detect using sparse signal processing techniques. Motivated success block orthonormal greedy algorithm (BOGA), new detection architectures, require no prior information about number proposed for robust tonal low noise ratio (SNR) environments. The distributions test statistics architectures firstly analyzed theoretically comprehensively based on theory statistics. Detection performances also compared experimentally. Significant improvements performance SNR environments shown over conventional detectors that do not consider sparsity tonals. HighlightsDetection elements.Frequency dealt (BOGA).Significant detectors.