Analysis and Simulation of Radar Clutter Using Spherically Invariant Random Processe

2013 ◽  
Vol 765-767 ◽  
pp. 431-435
Author(s):  
Hong Sen Xie ◽  
Jin Bo Shi ◽  
Bao Kuan Luan ◽  
Hua Ming Tian ◽  
Peng Zhou
Keyword(s):  
Correlation Function ◽  
Probability Function ◽  
Temporal Correlation ◽  
Random Processes ◽  
Spatial Correlation Function ◽  
Radar Clutter ◽  
Gaussian Probability Distribution ◽  
Non Gaussian ◽  
Simulation And Validation ◽  
Temporal Correlation Function

Non-Gaussian probability distribution radar clutter not only is temporal correlated between different pulses, but also is spatial correlated between different range bins. In this paper, the method of simulation and validation of radar clutter is proposed using spherically invariant random processes (SIRP). The amplitude probability function and temporal correlation function of radar clutter can be controlled respectively, and the spatial correlation function can be also specified. The computer simulation of K-distribution and CHI-distribution radar clutter is used to validate the method, and is to validate the amplitude probability function, temporal-spatial 2D correlation function.

Simulation and Validation of Temporal-Spatial 2-Dimensional Correlated Radar Clutter Based on SIRP

2011 ◽  
Vol 474-476 ◽  
pp. 1161-1167
Author(s):  
Ting Jun Li
Keyword(s):  
Correlation Function ◽  
Probability Function ◽  
Temporal Correlation ◽  
Random Processes ◽  
Spatial Correlation Function ◽  
Radar Clutter ◽  
Gaussian Probability Distribution ◽  
Non Gaussian ◽  
Simulation And Validation ◽  
Temporal Correlation Function

Non-Gaussian probability distribution radar clutter not only is temporal correlated between different pulses, but also is spatial correlated between different range bins. In this paper, the method of simulation and validation of radar clutter is proposed using spherically invariant random processes (SIRP). The amplitude probability function and temporal correlation function of radar clutter can be controlled respectively, and the spatial correlation function can be also specified. The computer simulation of K-distribution and CHI-distribution radar clutter is used to validate the method, and is to validate the amplitude probability function, temporal-spatial 2D correlation function.

scholarly journals A Simple Network Showing Burst Synchronization without Frequency Locking

1992 ◽  
Vol 4 (2) ◽  
pp. 211-223 ◽  
Author(s):  
Christof Koch ◽  
Heinz Schuster
Keyword(s):  
Temporal Correlation ◽  
Random Processes ◽  
Random Input ◽  
Frequency Locking ◽  
Synchronization Process ◽  
Input Signals ◽  
Burst Synchronization ◽  
Simple Network ◽  
Temporal Correlation Function ◽  
Global Inhibition

The dynamic behavior of a network model consisting of all-to-all excitatory coupled binary neurons with global inhibition is studied analytically and numerically. We prove that for random input signals, the output of the network consists of synchronized bursts with apparently random intermissions of noisy activity. We introduce the fraction of simultaneously firing neurons as a measure for synchrony and prove that its temporal correlation function displays, besides a delta peak at zero indicating random processes, strongly dampened oscillations. Our results suggest that synchronous bursts can be generated by a simple neuronal architecture that amplifies incoming coincident signals. This synchronization process is accompanied by dampened oscillations that, by themselves, however, do not play any constructive role in this and can therefore be considered to be an epiphenomenon.

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