An Adaptive Processing of Linear Array for Target Detection Improvement
نویسندگان
چکیده
Antenna arrays yield multiple, simultaneous available beams. These beams can be made to have high gain, low side lobes and controlled beam width. In conventional beam forming, the smallest beam width depends on the geometric dimensions of the receiving array. This problem may overcome by the Hyper beam invention. The linear array when implemented using Hyper beam technique, there is a considerable reduction of side lobes and beam width compared to the conventional beam forming. As a result, the relevant equations pertaining to normal linear array and the Hyper linear array are presented. The effect of the Hyper beam exponent on the beam patterns are shown.
منابع مشابه
A New Compact Ultra-wideband Linear Antenna Array for Target Detection Applications
This paper presents a low-cost compact planar microstrip-fed monopole antenna and its four-element array design for ultra-wideband (UWB) wireless communication and target detection applications, respectively, operating in the frequency span of 3 GHz to 11 GHz. A prototype was fabricated and then measured based on optimal parameters. The results of reflection coefficient (S11) and radiation patt...
متن کاملTarget Detection in Bistatic Passive Radars by Using Adaptive Processing Based on Correntropy Cost Function
In this paper a novel method is introduced for target detection in bistatic passive radars which uses the concept of correntropy to distinguish correct targets from false detections. In proposed method the history of each cell of ambiguity function is modeled as a stochastic process. Then the stochastic processes consist the noise are differentiated from those consisting targets by constructing...
متن کاملPerformance Improvement of Radar Target Detection by Wavelet-based Denoising Methods
With progress in radar systems, a number of methods have been developed for signal processing and detection in radars. A number of modern radar signal processing methods use time-frequency transforms, especially the wavelet transform (WT) which is a well-known linear transform. The interference canceling is one of the most important applications of the wavelet transform. In Ad-hoc detection met...
متن کاملPerformance Improvement of Radar Target Detection by Wavelet-based Denoising Methods
With progress in radar systems, a number of methods have been developed for signal processing and detection in radars. A number of modern radar signal processing methods use time-frequency transforms, especially the wavelet transform (WT) which is a well-known linear transform. The interference canceling is one of the most important applications of the wavelet transform. In Ad-hoc detection met...
متن کاملTarget Detection Improvements in Hyperspectral Images by Adjusting Band Weights and Identifying end-members in Feature Space Clusters
Spectral target detection could be regarded as one of the strategic applications of hyperspectral data analysis. The presence of targets in an area smaller than a pixel’s ground coverage has led to the development of spectral un-mixing methods to detect these types of targets. Usually, in the spectral un-mixing algorithms, the similar weights have been assumed for spectral bands. Howe...
متن کامل