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The Incidence and Cross methods for efficient radar detection

机译:入射和交叉方法可有效检测雷达

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The designation of the radar system is to detect the position and velocity of targets around us. The radar transmits a waveform, which is reflected back from the targets, and echo waveform is received. In a commonly used model, the echo is a sum of a superposition of several delay-Doppler shifts of the transmitted waveform, and a noise component. The delay and Doppler parameters encode, respectively, the distances, and relative velocities, between the targets and the radar. Using standard digital-to-analog and sampling techniques, the estimation task of the delay-Doppler parameters, which involves waveforms, is reduced to a problem for complex sequences of finite length N. In these notes we introduce the Incidence and Cross methods for radar detection. One of their advantages, is robustness to inhomogeneous radar scene, i.e., for sensing small targets in the vicinity of large objects. The arithmetic complexity of the incidence and cross methods is O(N logN + r3) and O(N logN + r2); for r targets, respectively. In the case of noisy environment, these are the fastest radar detection techniques. Both methods employ chirp sequences, which are commonly used by radar systems, and hence are attractive for real world applications.
机译:雷达系统的名称是检测我们周围目标的位置和速度。雷达发送一个波形,该波形从目标反射回来,并接收回波波形。在通常使用的模型中,回声是发射波形的几个延迟多普勒频移和噪声分量的叠加之和。延迟和多普勒参数分别编码目标和雷达之间的距离和相对速度。使用标准的数模和采样技术,将涉及波形的延迟多普勒参数的估计任务简化为有限长度N的复杂序列的问题。在这些注释中,我们介绍了雷达的入射和交叉方法检测。它们的优点之一是对非均匀雷达场景的鲁棒性,即用于感知大物体附近的小目标。关联法和交叉法的算术复杂度为O(N logN + r 3 )和O(N logN + r 2 );分别针对r个目标。在嘈杂的环境中,这些是最快的雷达检测技术。两种方法都采用了雷达系统通常使用的线性调频序列,因此对于现实世界的应用很有吸引力。

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