fig1 shows a block diagram of the device according to an example embodiment of the present invention in a vehicle . vehicle 10 has two acceleration sensors bs 1 and bs 2 on its front end which are situated behind the bumper cover in a suitable manner . these acceleration sensors bs 1 and bs 2 have a micromechanical element which , for example , changes its capacitance under the effect of acceleration and this capacitance change is then amplified and digitized . the data created in this way are then transferred to a control unit sg in vehicle 10 , i . e ., to its interface module if . instead of two acceleration sensors bs 1 and bs 2 , more than these two acceleration sensors may also be installed in the vehicle front , for example 3 or 4 or also only one single acceleration sensor . it is also possible to totally omit the acceleration sensors in the front . a structure - borne noise sensor k 1 is additionally installed in the vehicle front which also may be an acceleration sensor . structure - borne noise signals are transmitted from structure - borne noise sensor k 1 to interface module if of control unit sg . it is possible here also to use more than one structure - borne noise sensor or to totally omit structure - borne noise sensor k 1 . the transmission of the sensors to control unit sg is typically a power line data transfer , individual lines being used here for each sensor . however , it is possible that the sensors are situated on a bus or a quasi - bus . from the interface module , of which there may be more than one , the sensor data are transferred to the analyzing circuit , i . e ., to microcontroller μc , via the spi bus , for example . instead of a microcontroller , asics or also microprocessors may be used . microcontroller μc also receives data from sensors within control unit sg , namely from acceleration sensor bs 3 , which is sensitive in the vehicle &# 39 ; s longitudinal direction , and from structure - borne noise sensor k 2 . as a function of all these data , microcontroller μc computes the activation algorithm as described in the following and activates ignition circuit flic as a function thereof . microcontroller μc has at least one integrator , one band - pass filter , one low - pass filter and one absolute - value generator as software modules for the method according to example embodiments of the present invention for processing the sensor signals . furthermore , a module is provided for forming the vector . if this ignition circuit flic is activated , then the ignition circuit supplies an ignition current to the passenger protection device ( s ) such as airbags or seat belt tighteners . for this purpose , ignition circuit flic is connected to passenger protection device ( s ) ps which are distributed in the vehicle . passenger protection device ( s ) ps may also include pedestrian protection device ( s ) such as a liftable front hood or outside airbags . by using structure - borne noise sensor systems k 1 and k 2 , which may be combined with appropriate acceleration sensors , the structure - borne noise signal may thus be separated from the acceleration signal , which is low - frequency , via a filter . fig2 describes the sequence of the method according to example embodiments of the present invention . the signal is picked up in method step 200 . if the same sensor is used for detecting the acceleration signal and the structure - borne noise signal , filtering takes place in method step 201 . the acceleration signal is then supplied to algorithm 202 which possibly results in triggering 205 . the high - frequency structure - borne noise signal is processed in method step 203 in the manner explained below and results in a modification of the first characteristic curve in method step 204 . free intervention in the algorithm is thus easily possible and it is clear that this function of the structure - borne noise sensor system is modular . for plausibility reasons it may be provided that two sensors are used during filtering . fig3 shows the method according to example embodiments of the present invention in a further sequence diagram . a high - frequency signal is filtered out in method step 300 and is in turn subjected to a band - pass in method step 301 . the signal is then subjected to an absolute - value generation in method step 302 . low - pass filtering of this signal is carried out in method step 303 . the signal generated in this manner may then advantageously be integrated in method step 304 , thereby creating the third signal or the third feature . the third signal created in this manner is then depicted in a forward displacement acceleration diagram in sequence step 305 . based on this comparison , also with a characteristic curve , it is determined how the characteristic curve for the main algorithm is modified . the forward displacement or velocity 307 is obtained from block 313 which supplies the velocity for the low - frequency signal . the corresponding acceleration is made available in block 314 . these two variables are supplied to block 312 which depicts acceleration 309 to forward displacement 308 . the two curves 310 and 311 can be clearly seen , curve 311 being raised as a function of the signal from block 305 . fig4 shows an acceleration forward displacement diagram . characteristic curve 42 separates crash 40 from noncrash 41 . a further acceleration forward displacement diagram is explained in fig5 , a distinction being made here between erroneous triggering 52 , where passenger protection device ( s ) ps are not to be triggered , and triggering case 50 . these two areas are separated by characteristic curve 51 .