Target Tracking - MATLAB Simulations for Radar Systems Design - page 406

and a difference signal in the same coordinate is

sin
ϕϕ 0

( ϕϕ 0 – ) sin

ϕϕ 0

( ϕϕ 0 + )

∆() = ---------------------------- – ----------------------------

(9.8)

( – ) ( + )

MATLAB Function Ðmono_pulse.mÑ

The function Ðmono_pulse.mÑ implements Eqs. (9.7) and (9.8). Its output
includes plots of the sum and difference antenna patterns as well as the differ-
ence-to-sum ratio. It is given in Listing 9.1 in Section 9.11. The syntax is as
follows:

mono_pulse (phi0)

where phi0 is the squint angle in radians.

Fig. 9.11 (a-c) shows the corresponding plots for the sum and difference pat-
terns for radians. Fig. 9.12 (a-c) is similar to Fig. 9.11, except in
this case radians. Clearly, the sum and difference patterns depend
heavily on the squint angle. Using a relatively small squint angle produces a
better sum pattern than that resulting from a larger angle. Additionally, the dif-
ference pattern slope is steeper for the small squint angle.

ϕ 0 = 0.15

ϕ 0 = 0.75

1

0.8

0.6

0.4

0.2

0

-0.2

-0.4

-4 -3 -2 -1 0 1 2 3 4

A ngle - radians

ϕ 0 = 0.15

Figure 9.11a. Two squinted patterns. Squint angle is radians.