Atmospheric Radar Research Center (ARRC)

Technology Innovation - Beam Multiplexing

This research thrust focuses on the exploration of phased array technology merging with novel signal processing techniques to develop optimal scanning strategies. An agile beam phased array radar has the potential not only to increase the scanning rate, but also to measure meteorological variables not currently available and to enhance data quality.
For a mechanically rotating radar a long dwell time is required to obtain a sufficient number of independent samples for accurate spectral moment estimation. For example, a dwell time of approximate 50 ms is needed to achieve the precision of 1 dB in reflectivity and 1 m/s in velocity estimates for WSR-88D (Smith, 1995; Bringi and Chandrasekar, 2001). This fundamental limitation of a mechanical scanning radar is due to the fact that signals from continuous beam directions are highly correlated (hence no new information content). In other words, fast scanning will be achieved at the expense of degradation in data quality because fewer independent samples are obtained and used in the spectral moment estimation.
On the other hand, a phased array radar can steer its beam to other directions and return to its original direction after signals become uncorrelated, therefore no wasteful time is spent. Thus, the use of radar resources can be optimized to produce a maximum update rate for a specified precision of reflectivity and velocity (Smith et al., 1974). This scanning scheme is defined as Beam Multiplexing (BM). A minimum number of two pulses is transmitted in each beam direction in order to estimate all three spectral moments using the autocovariance method (the pulse pair processing) (Doviak and Zrnic, 1993). Various scanning strategies based on BM will be developed and will be used adaptively for varying weather phenomena.
Torres and Zrnic (2003) have shown that higher scanning rate for NEXRAD is feasible by applying whitening technique on range oversampled data. The whitening technique makes use of oversampled signals in range to increase the number of independent samples, while BM operates in sample time to achieve the same goal. The two techniques are complementary and can be implemented simultaneously. It is hypothesized that the scanning rate of BM can be doubled if oversampling in range with a factor of 4.
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