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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Detection of weak target echo in the presence of strong clutter is the main objective of any RADAR. To evaluate the performance of RADAR it is required to generate the clutter of various types including land and sea. This clutter is of non Gaussian distribution such as lognormal, Weibull and k-type. In this book it is proposed to develop a clutter generation algorithm of given distribution type. This process consists of random number generator with Gaussian distribution converting into a non Gaussian using ZMNL (Zero Memory Nonlinearity Transformation) technique. It also includes amplitude shaping and addition other interference signals.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Detection of weak target echo in the presence of strong clutter is the main objective of any RADAR. To evaluate the performance of RADAR it is required to generate the clutter of various types including land and sea. This clutter is of non Gaussian distribution such as lognormal, Weibull and k-type. In this book it is proposed to develop a clutter generation algorithm of given distribution type. This process consists of random number generator with Gaussian distribution converting into a non Gaussian using ZMNL (Zero Memory Nonlinearity Transformation) technique. It also includes amplitude shaping and addition other interference signals.