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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hatke, G.F. Yegulalp, A.F. |
| Copyright Year | 2000 |
| Description | Author affiliation: Lincoln Lab., MIT, Lexington, MA, USA (Hatke, G.F.) |
| Abstract | In the development of adaptive array processing algorithms, data simulation has been a key element of testing and evaluation. It has long been known how to simulate temporally-white, Gaussian array data with a specified spatial covariance. However, with the advent of space-time array processing algorithms, it has become crucial to simulate data which has a specified joint spatio-temporal correlation. In the case where only a finite number of time correlation lags are known (say, from measured data), then a technique for generating valid data having this specified correlation relationship is required. A direct extension of the current spatial techniques fails to insure proper temporal correlation for all time samples. Techniques have been proposed for generating space-time data from correlation functions defined for a finite number of lags, but the truncated correlation function must itself be positive definite (assuming a zero extension). In general, this will not be true for measured correlation data. This paper proposes two methods of generating arbitrarily long sequences of multi-channel Gaussian data which has a specified spatio-temporal correlation function. The first method uses a matrix finite impulse response (FIR) filter approach to generate data with the approximate spatio-temporal correlation required. The second method uses a matrix infinite impulse response (IIR) filter approach, and has the capability to generate data with the exact spatio-temporal correlation function specified to a finite number of time lags. Results are shown demonstrating simulated data having a spatio-temporal correlation function equal to that measured from a GPS adaptive array mounted on an F-16 illuminated with four strong broadband sources. |
| Starting Page | 542 |
| Ending Page | 546 |
| File Size | 456374 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780365143 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.2000.911014 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-10-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Finite impulse response filter Sensor arrays Adaptive arrays Covariance matrix Force sensors US Government Array signal processing Spectral shape IIR filters Autocorrelation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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