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There are many research to find not only user data but also physical information about objects or human in radio signals. And we can obtain physical information from the wireless signals such as RSSI (Received Signal Strength Indicator), Doppler frequency and other values. For example, the Doppler frequency is generated by the object moving physically in wireless signals used for communication. By analyzing the Doppler frequency, the moving speed and direction of the object can be predicted. In this paper, we study the previous research which is to detect the moving objects or human using wireless signals, 802.11a signals. We introduce and verify the method to improve the frequency domain resolution of commercial 802.11a receivers to observe the doppler frequency and obtain the information of the moving objects or human. [ABSTRACT FROM AUTHOR]

An Acoustic Doppler Current Profiler(ADCP) measures the current velocity and analyzes the degree of turbulence using Doppler effects of ultrasonic waves. Therefore, the autocorrelation or FFT spectrum estimates are obtained for extraction of current velocity in each spatial region. However, if the correlation method does not satisfy the assumption that the return signal spectra are symmetric Gaussian, the large bias errors can occur. Also, the accurate estimation of autocorrelation or FFT spectrum is difficult due to the short acquisition interval when the rapid changes of current velocity occur. Thus, in this paper, the estimation method of the autoregressive spectrum peak is suggested for the accurate current velocity measurement of both symmetric and asymmetric spectra. It is shown that estimation quality can be improved using the suggested method comparing with the conventional methods. Many return signals under the various environment are simulated and the results are compared and analyzed for evaluation of the suggested method. [ABSTRACT FROM AUTHOR]