MINIMUF-3: A Simplified hf MUF Prediction Algorithm.

Abstract

Develop the MIN IMUF-3 model to provide a simplified predicti on of hf Maximum Usable Frequency (MUF) suitable for use on small mobile propagation fo recast (PROPH E T) terminals. With this tool , develop a variety of new forecast applications to serve the hi ' surveillance and communications community where the use of large-scale propagation programs in the operational environment is not practical. (The flexibility of these new applications to serve a variety of users depends to a large extent on the confidence of the internal prediction al gorithms. Because MINIMUF-3 represents such a significant degre e of simplification , a primary concern is the accuracy of the MUF estimates.) This report presents: (I) the M INIMUF model ; (2) results of verification tests ; (3) a specification on its capabilities and limitations ; and (4) app lications. RESULTS The MINIMUF-3 hf prediction model produces a consistent product with a nominal accuracy between 3 and 5 MHz rms residual error. This compare s favorabl y with the abilities of large-scale hi ' prediction programs which require sizable computer facilities. RECOMMENDATIONS Continue work to further re fine the MIN IMUF-3 model to include F and Spo radic I region propagation. Consider small-scale propagation forecast (PROPHET) capabilities for inclusion into new hf system development. Further continue new application development to exploit the capabilities of simple fo recast models like MIN IMUF-3 .

The Effects of Space Weather on Radio Systems

“…Additional inputs may consist of the planetary magnetic index (k p ), the transmitter power, the bandwidth, and the required circuit reliability. Example monthly median propagation tools are: ICEPAC [Stewart and Hand, 1994], IONCAP [Teters et al, 1983], VOACAP [Lane et al, 1993], MINIMUF [Rose et al, 1978] and REC533 [ITU-R, 1999].…”

Oblique Ionograms and HF Propagation Assessment

“…The selection of frequency for an HF communication link is often initially based on predictions of a statistical model, such as MINIMUF [Rose et al, 1978a[Rose et al, , 1978b[Rose et al, , 1979.…”