Efficient Classification of Low-Resolution Range Profiles of Automobiles Using a Combination of Useful Features

Abstract

Abstract-The range profile (RP) of an automobile is derived by compressing the wideband radar signal, and it can be utilized for the classification and thus contribute to lane change and collision avoidance. However, the limited radar bandwidth due to the cost and the system complexity impedes the successful classification. This paper proposes an efficient method to construct an efficient feature vector of the automobile RP through combined use of the central moment, the information on the maximum-minimum and the peak information. Simulation results using the five automobile models composed of point scatterers and a simple nearest neighbor classifier prove that the proposed method improves the classification result, especially in the multi-aspect classification.

Analysis of Effect of Korean Offshore Wind Farms on Accuracy of X-Band Tracking Radar

“…Then Diff x and Diff y are collected in the local coordinate ( Fig. 5) for each tracking radar by using (11), (12) and (15). The beam of each antenna is updated in the same manner.…”

“…For the Doppler analysis, we apply the procedure to analyze the Doppler frequency of L-band radar [9]. The radar signal is modeled by using the chirp signal, and matched filtering is conducted to yield highresolution signal [12][13][14][15]. Then a range bin with the echo signal from the turbine is selected and the short-time Fourier transform [16][17][18][19] is conducted to express the time-varying Doppler frequency.…”

Micro-Doppler Analysis of Korean Offshore Wind Turbine on the L-Band Radar

“…d k (t s ) = 2r k (t s )/c, in which c is the velocity light, is calculated assuming the plane wave, i.e., r k (t s ) is the distance of the scatterer k projected onto the radar line of sight (RLOS). For higher resolution, the reflected signal is matched filtered by the following replica [3][4][5][6][7]:…”