Windowing Effects of Short Time Fourier Transform on Wideband Array Signal Processing Using Maximum Likelihood Estimation

windowing effects of short time fourier transform on wideband array signal processing using maximum likelihood estimation

during the last two decades, maximum likelihood estimation (ml) has been used to determine direction of arrival (doa) and signals propagated by the sources, using narrowband array signals. the algorithm fails in the case of wideband signals. as an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time fourier tran...

Windowing and the Short-Time Fourier Transform

With efficient tools for computing the Fourier transform in hand, in this lecture we briefly describe issues that arise when we try to use this tool to analyze signals. We will discuss two major issues. The first is the effect of only collecting a finite number of samples x[0], . . . , x[L − 1], rather than observing x[n] for all n. The second is what happens when the signal of interest has fre...

Array Signal Processing for Maximum Likelihood Direction-of-Arrival Estimation

Estimation of the emitters’ directions with an antenna array, or Direction-of-Arrival (DOA) estimation, is an essential problem in a large variety of applications such as radar, sonar, mobile communications, and seismic exploration, because it is a major method for location determination. In wireless communications, DOA estimation may significantly improve communication efficiency and network c...

Signal estimation from modified short-time Fourier transform

In this paper, we present an algorithm to estimate a signal from its modified short-time Fourier transform (STFT). This algorithm is computationally simple and is obtained by minimizing the mean squared error between the STFT of the estimated signal and the modified STFT. Using this algorithm, we also develop an iterative algorithm to estimate a signal from its modified STFT magnitude. The iter...

Fourier Transform – Signal Processing