The invention discloses a normalized leakage LMS self-adaptive mobile target
detector based on FRFT, belonging to the technical field of
radar signal processing and detecting. The existing statistics method and FRFT method are respectively applied to mobile target detection in sea
clutter in the presence of the defects such as undesirable sea
clutter inhibition, complex parameter evaluation and poor real-time. The invention combines the
time domain LMS
algorithm with the FRFT domain mobile target detection method, the kurtosis iterative computation is adopted for rapidly determining a best transform angle; an FRFT domain self-adaptive
spectral line enhancer is constructed for improving the
signal-to-
noise ratio for inhibiting the sea
clutter, the leakage factor is introduced into
a weighting vector iterative formula for reducing the influence of
memory effect to the
spectral line enhancer, the step length is normalized in power for improving the convergence rate, and the amplitude value of output
signal is regarded as the detection statistic. The
detector can self-adaptively inhibit the sea clutter, and the target
motion parameter evaluation is high in precision; and the
detector is suitable for applying to the detection and
filtration of LFM signal, and has popularization and application values.