In order to evaluate the effectiveness of space target damage caused by
projectile explosion in weapon range, it is difficult to give a
scientific calculation model for target damage due to the uncertainty of
projectile explosion position and target intersection state. In this
paper, we study the probability calculation function of multiple
projectiles hitting the target area by combining the principle of air
defense and anti-missile mesh intersection and explosion. According to
the fragment dispersion characteristics formed by the explosion of the
projectile and the intersection penetration area of the fragment and the
target, studying the calculation method of the target damage condition
probability under the condition of shooting multiple projectiles in one
test, and establishing the calculation model of the target damage
probability of multiple projectiles’ explosion fragments under the
condition that the projectile effectively hits the target. Through the
experimental test of the five element acoustic array projectile
explosion point position testing system, we calculate the damage
probability of multiple projectile explosion points to the target
according to the probability function of the projectile hitting the
target in the explosion and the damage function of the target scattered
by fragments. The experimental results show that the theoretical
simulation results are basically consistent with the target damage
results calculated from the actual projectile explosion test data.
Because the flare signal formed by projectile explosion is affected by the external environment, it is difficult for multi‐acoustic sensor array to obtain accurate synchronization signal. In order to solve this problem, this paper proposes a design method of ultra‐wide‐angle photoelectric detection sensor by using circular curved surface array lens, analyze the detection ability of photoelectric detection sensor with array lens, and establish the output signal function calculation model. According to the output signal of flare detection circuit, the feature points detection algorithm of modulus maxima based on wavelet transform is studied. Based on this algorithm, the signal is processed on the hardware processor to output the actual flare trigger control signal. The processing and recognition algorithm of signal mainly uses the relationship among wavelet modulus maxima, scale, Lipschitz index, and signal singularity to select the appropriate wavelet basis to process the flare signal formed by projectile explosion. Thus, the feature points of the flare signal singularity can be obtained. When the detection conditions of the feature points of the signal singularity are satisfied, the hardware outputs pulse signals to control the acoustic sensor array. The experimental results show that the designed detection algorithm of wavelet filtering and modulus maxima feature points can effectively detect the flare signal.
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