CN105119581A - Automatic calibration method for solid-state power amplifier - Google Patents

Abstract

The invention belongs to the field of microwave solid state power amplifiers, and provides an automatic calibration method for a solid-state power amplifier based on a genetic algorithm, wherein the method comprises the steps of power automatic measurement and power error correction. The method comprises the following steps of constructing an error correction value function f (p) in the process of power error correction and using the genetic algorithm to perform optimal value calculation on f (p) to obtain a minimum f (p) value and a maximum f (p) value; and performing mean value calculation on the optimized minimum f (p) value and maximum f (p) value to obtain a final power error correction value F (P). When power error correction is performed in a conventional calibration method, the power error correction is only tested once at the specific power value of a corresponding frequency point or after several power points are tested, a mean value is taken to obtain the final power error correction value; the operations are mostly done manually. Therefore, the automatic calibration method for the solid-state power amplifier provided by the invention can greatly reduce the occasionality of obtaining an error correction value, and improve the calibration efficiency and calibration accuracy, and has very strong universality and a practical engineering value.

Description

A kind of solid state power amplifier automatic calibrating method

Technical field

The present invention is based on genetic algorithm, provide the solid state power amplifier automatic calibrating method that a kind of precision is higher.Belong to microwave solid-state power amplifier field.

Background technology

What the current automatic calibrating method for microwave/millimeter wave power meter was conventional has " directional coupler method ", " alternately comparison method ", Transfer Standards method " and " six port methods " etc.

But the method for carrying out calibrating for the performance number of power amplifier own is still rare, universal method of its calibration be utilize the measuring instrument of such as power meter and so on to by the true output power value of calibration equipment (once or after selecting several power points to test getting average in the test of corresponding frequency certain power value place) with carried out error correction calculating by the recording powers of laser beam of calibration equipment own, then error correction values is write by calibration equipment with specific unit, and then complete calibration.

There is the lower and defect that contingency is larger of the error correction values precision of gained in the method, therefore, needs in the industry a kind of precision higher and the power calibrating method of high efficiency.

Summary of the invention

For above-mentioned existing problems or deficiency, for realizing the efficient and calibration of power accurately, the present invention is based on genetic algorithm, providing a kind of solid state power amplifier automatic calibrating method.

This solid state power amplifier automatic calibrating method, specifically comprises the following steps:

Step 1, human-computer interaction interface by calibration calculations machine, computer for controlling is monitored communicate with solid state power amplifier subrack/rack MCS, gathers in MCS monitoring singlechip and shows performance number, be designated as p _i;

Step 2, automatically test by computer man-machine interacting interface remote control signal source, the real output value of power meter to solid state power amplifier subrack/rack and gather, being designated as p _i'.

Step 3, calibration calculations machine will gather the display performance number p of gained in MCS monitoring singlechip _iwith the real output value p gathering power meter test gained _i' carry out error correction calculating, build error correction value function

p _i∈ (1, w) and-u≤f (p)≤u;

Wherein w is given measured power point higher limit, and ± u is error correction values allowed band, and m is measured power point number; The size of m value carries out free setting according to the requirement of calibration accuracy, when m value gets timing, and p _i, p _i+1... p _mrespectively from (1, random selecting measured power point value w), to the real power value p corresponding to corresponding measured power point _i', p _i+1' ... p _m' gather, then obtain corresponding error correction values f (p).

Step 4, introducing genetic algorithm: floating-point encoding is carried out to f (p), if produce the individuality with m floating number, only need to p _i, p _i+1... p _mcarry out choosing for m time respectively within the scope of the measured power point value that it is given, then carry out corresponding genetic manipulation to obtain minf (p) and maxf (p), in the process of solved function f (p) optimal solution, directly using function f (p) as evaluation function, ideal adaptation degree is directly taken as the error correction values corresponding to f (p).

Step 5, according to error correction values mean value function -u≤F (P)≤u, (± u is error correction values allowed band) calculates the value of F (P), is write by calibration equipment by F (P), complete the automatic calibration to KA power amplifier power as final error correction value.

In sum, this method, owing to have employed genetic algorithm, for traditional calibration steps, improves precision and efficiency, is a kind of solid state power amplifier automatic calibrating method of high-accuracy high-efficiency rate.

Accompanying drawing explanation

Fig. 1 is solid state power amplifier subrack/rack theory of constitution;

Fig. 2 is automatic calibration of power block diagram;

Fig. 3 is genetic algorithm flow process

Fig. 4 is solid state power amplifier automatic calibration of power software flow;

Fig. 5 is the automatic measurement procedure of power;

Fig. 6 is power error correction flow process.

Embodiment

The basis of Fig. 1 is understood the theory of constitution of solid-state merit subrack/rack, is grasped signal wiring and the data flow of automatic calibration of power by Fig. 2, automatically measure for power amplifier power and lay the foundation with error correction calculating.

As shown in Figure 5, the data measured by it are used for error correction and calculate the step that power amplifier power is measured automatically.

In Fig. 3, according to the boundedness of variable number (m) in error correction values function f (p) introduced and function f (p), F (P), " floating-point encoding " method in genetic algorithm is adopted to encode to f (p), form the individuality that has m floating number, random generation has M individual initial population; Calculate the target function value of each individuality, and ascending (descending) sequence is carried out to this M functional value, record optimum individual, and carry out selection operation in conjunction with the mode of roulette, eliminate the individuality of n functional value comparatively large (little), and replace to individuality corresponding to n less (greatly) functional value respectively; This M individuality is matched at random between two, the crossover probability p specified by _ccarry out single-point interlace operation; To each parameter in each individuality, specify mutation probability p by one _mcarry out basic bit mutation operation; Delete an any individual in population and replace to the optimum individual previously recorded; See and whether meet the condition of convergence (maximum generation number), satisfied then export maximum or minimum optimal solution and exit, otherwise carry out cycling.When after two optimal solutions obtaining f (p) (maximum and minimum value), carrying out F (P) and calculate, by calculating the error correction values of gained with specific unit write power amplifier single-chip microcomputer, completing the automatic calibration to power amplifier power.Concrete error correction step as shown in Figure 6.

In order to liberate both hands, raise the efficiency, can based on the above method, design software realizes, and the flow process of software is as shown in Figure 4.

Claims (1)

1. a solid state power amplifier automatic calibrating method, specifically comprises the following steps:

Step 1, human-computer interaction interface by calibration calculations machine, computer for controlling is monitored communicate with solid state power amplifier subrack/rack MCS, gathers in MCS monitoring singlechip and shows performance number, be designated as p _i;

Step 2, automatically test by computer man-machine interacting interface remote control signal source, the real output value of power meter to solid state power amplifier subrack/rack and gather, being designated as p _i';

Step 3, the display performance number p of gained in MCS monitoring singlechip will be gathered on calibration calculations machine _iwith the real output value p gathering power meter test gained _i' carry out error correction calculating, build error correction value function

$f\left(p\right)=\frac{\underset{i=1}{\overset{m}{\Σ}}({p_i}^{\′}-p_i)}{m},$ P _i∈ (1, w) and-u≤f (p)≤u;

Wherein w is given measured power point higher limit, and ± u is error correction values allowed band, and m is measured power point number; The size of m value carries out free setting according to the requirement of calibration accuracy, when m value gets timing, and p _i, p _i+1... p _mrespectively from (1, random selecting measured power point value w), to the real power value p corresponding to corresponding measured power point _i', p _i+1' ... p _m' gather, then obtain corresponding error correction values f (p);

Step 4, introducing genetic algorithm: floating-point encoding is carried out to f (p), if produce the individuality with m floating number, only need to p _i, p _i+1... p _mcarry out choosing for m time respectively within the scope of the measured power point value that it is given, then carry out corresponding genetic manipulation to obtain minf (p) and maxf (p), in the process of solved function f (p) optimal solution, directly using function f (p) as evaluation function, ideal adaptation degree is directly taken as the error correction values corresponding to f (p);

Step 5, according to error correction values mean value function $F\left(P\right)=\frac{\min f\left(p\right)+\max f\left(p\right)}{2},-u\≤F\left(P\right)\≤u,$ ± u is error correction values allowed band, calculates the value of F (P), is write by calibration equipment by F (P), complete the automatic calibration to KA power amplifier power as final error correction value.