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This paper studies the placement of antennas in presence of mountains for widely separated multiple-input multiple-output (MIMO) radar. One of the challenges in this configuration is proper placement of the receive antennas in order to achieve good performance. We derived Neyman-Pearson decision rule for target detection. Via several scenarios we show that proper placement of receivers can provide...
There has been much interest, recently, towards exploiting the Multiple-Input Multiple-Output (MIMO) technique in radar. It is shown that using multiple antennas at transmit and receive sides can improve the performance of the system. However, in order to analyze the system's performance, its ambiguity function, i.e. the ambiguity function of a MIMO radar, is needed to be defined. In this paper, beginning...
Masking effect is the most important problem in Noise Radars. Recently, some waveform design methods to resolve this problem have been developed, however this paper will show an important fact: 'sidelobe suppression increases the Periodicity of signal and, consequently, decreases unpredictability'. Eventually, an appropriate level for sidelobe reduction is introduced.
Target detection in noise radar is always done by computing cross-correlation between transmitted and received signals. In this process, side lobes of a strong target emerge and make some troubles in detection of weak ones (Masking Effect). Therefore, finding methods to suppress this effect becomes important. These methods can be implemented at the transmitter or receiver or at both to achieve more...
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