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Single vector sensor resolution of a multi-objective approach

(6) is easy to see the results of the accuracy of calculating the total signal to noise ratio is essentially linear relationship, the higher the total signal to noise ratio, the smaller the relative error of calculating the results. Should be noted that this refers to the total signal to noise ratio, but the goal of which is weak in terms of signal to noise ratio can be equal to 0dB or even negative decibels. For example, two targets of their signal strength and azimuth were 10,0. And 1,30. , If the total SNR of 10dB, then the root mean square error of the measured amount of will were: 1.0,1.1 o and 0.009,3.9. . However, this result does not mean that the strength of 2 goals difference 10dB, angle of 30. , If the total SNR of 10dB, calculating the results are above the mean square error values. Indeed, when the two levels of orientation is not equal to 0, respectively. And 30. When calculating the results of the error with both the level of their respective position will vary and may even in some special position to reach a considerable value. This is due to the nonlinear equations characteristics of the decision. In general, a difference of 10dB on the strength of the two signals, if the total SNR of 10dB, the error of calculating the results of the relationship between the angle shown in Figure 1: Take a strong target strength. = 10, not difficult to see from the figure, the stronger the signal, its signal strength calculating the results of the error △,[link widoczny dla zalogowanych],. And the azimuth error A0. Are tolerable range. However, the weaker the target, its 0dB signal to noise ratio in the following fact,[link widoczny dla zalogowanych], if the angle with the direction in which a strong signal is less than 90. When calculating the results of error greatly, completely credible. Only when the angle between two directions in which more than 90 goals. , The weaker it may be more credible target was determined. Figure 1 Calculating the strength of goal difference l0dB relationship between error and the angle of Fig. 1Changeofdetectionerrorwithincludedanglefortwoobjectswith10dBdifferenceinstrength selected target azimuth angle between the two is 60. From Figure 1, this time the results were in general solver square errors. If the total signal to noise ratio is still taking 10dB, Figure 2 shows the relative strength of two goals are different results when calculating their mean square error, the figure abscissa,[link widoczny dla zalogowanych], / No. 6 YANG Shi Curcuma: single vector sensor resolution of a multi-objective approach ・ 595 ・ J. , Where J. Value is still taken as 10. Since the total signal to noise ratio is taken as constant, it decreases the relative strength of two goals, the actual noise levels are correspondingly reduced. However,[link widoczny dla zalogowanych], the figure is not difficult to see that the relative intensity decreases, the results of the precision solver strong signal increase in the results of weak signal solver accuracy. To ensure the accuracy of solving, in addition to improve the overall signal to noise ratio, the effect of nonlinear characteristics of the equation, if the equation (6) access () should be placed close to the axis of the target, otherwise, equation (6 ) changed get (), the target should be placed close to the Y axis,[link widoczny dla zalogowanych], or get () instead of (2). Involves solving more targets to raise the precision of the method of calculating will be a further discussion. Figure 2, the relative strength of different target and calculating the error between the relative intensity of Fig. 2ChangeofdetectionerrorwithrelativestrengthfortwoobjectsincaseoftotalS / N = 10dB References: [1] SHCHUROVVA, SHCHUROV, eta1. Peculiari-tiesofformingofunderwatercombinedacousticreceivernoiseimmunity [A]. ProcofInterWorkshoponUnder-waterAcousEngandTech [C]. Harbin, 1997. [2] HOCHWARDB, NEHORAIA. Identifiabilityinarrayprocessingmodelswithvector-sensorapplications [J]. IEEETransonSignProc, 1996 (1) :83-95. [3] Sun Guiqing, Yang Desen, Zhang moon. Vector hydrophone based underwater target noise measurement of low frequency radiation [J]. Acoustics, 2002,27 (5) :429-434. [4] Tao Du pure. According to the average power spectrum of noise radiated Ship Shape Recognition [J]. Journal of Acoustics, 1981 (4) :52-56. [Editor: Liu Yuming]

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