A Time Series and Intervention Analysis of Millimeter Wave (MMW) Radiometric Data

摘要

A series of tests were conducted in August 1978 to collect radiometric (electromagnetic radiation) data at the North East Test Site of the Rome Air Development Center in Rome, N.Y. This radiometric data was collected using a millimeter wave (MMW) sensoring system. Both background (ground noise) and target data were collected to investigate the signal characteristics of the sensor system. The data was recorded at equally spaced time intervals over five ranges. The purpose of the sensor is to detect and then aim at the target. The Box and Jenkins time series technique was used in an effort to model the background and target radiometric data. This effort resulted in an Autoregressive Integrated Moving Average (ARIMA) model of order p=1, d=0, and q=1, where the autoregressive parameter ranged from 0.73 to 0.88 and the moving average parameter ranged from -0.59 to -0.64. This ARIMA(1,0,1) model gave surprisingly good results in characterizing the background noise of the millimeter wave sensor system. (Author)