Modern radars not only intercept and track targets but also differentiate and distinguish between multiple targets. The detection capabilities of the radar could be improved even in the presence of noise by using spectral estimation methods such as ARMA (Autoregressive moving average) models, Prony‟s method, MUSIC (Multiple signal classification) and novel MUSIC algorithms. The MUSIC algorithm uses eigen value decomposition method to separate noise subspace and signal subspace based on eigen values. Signal subspace contains echoes of multiple targets. In general, the real time signals always operate in the presence of noise. But either the closeness between the frequencies further increases or noise level increases, these methods fail to identify closely spaced targets. In this work, high resolution spectrum estimation method called Modified Music method is developed to improve the detection capability of mutiple targets upto -10dB SNR.
Volume 12 | 07-Special Issue
Pages: 2857-2865
DOI: 10.5373/JARDCS/V12SP7/20202427