The characteristics and design of the conical log-spiral antenna

Abstract

The balanced conical logarithmic-spiral antenna is considered as a slow-wave locally periodic structure with a slowly varying period. A study of the near fields and their relationship to the f a r fields has led to the identification of the active region or effective radiating aperture on the antenna and to a clearer understanding of its operating characteristics. Information of the near-and far-field characteristics and on the input impedance for a wide range of parameters is presented in a form suitable for use in the design of practical antennas.

A new wideband, fully steerable, decametric array at Clark Lake

“…The far field radiation pattern is determined by the apex angle of the cone and the pitch angle of the conductors. Considerably more detail may be obtained from other sources (Rumsey, 1966;Dyson, 1965;Yeh and Hei, 1967-68).…”

Experimental study of the impedance of a short dipole in a plasma for parallel and perpendicular orientation with respect to the D.C. magnetic field

“…The problem of coupling the dipole which must be fed in the balanced configuration to the slotted line which is an unbalanced system was resolved by using the "double slotted line" technique (see Dyson, 1964). The method makes use of two matched slotted lines fed 1800 out of phase by means of a hybrid.…”

Analysis of conical log‐periodic antennas

“…Two of the most popular designs based on these guidelines are the planar and conical spiral antennas. The performance aspects of these antennas, such as impedance, gain, and pattern, have been extensively studied and documented with design graphs based on empirical results [2,3] and accurate numerical analysis [4].…”

“…The large computer time, required in the earliest approach [1] to reconstruct the far field, has been drastically reduced by recovering plane-rectangular data from the plane-polar data, thus enabling the use of FFT [2]. In [3], by exploiting the quasi-bandlimitation properties of electromagnetic (EM) fields [4], an optimal sampling interpolation (OSI) algorithm has been developed to recover the plane-rectangular data from the plane-polar data. It minimizes the truncation error and is stable with respect to errors affecting the data.…”