CN101887115B - Pulsed detection threshold computation module - Google Patents
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- CN101887115B CN101887115B CN 201010215836 CN201010215836A CN101887115B CN 101887115 B CN101887115 B CN 101887115B CN 201010215836 CN201010215836 CN 201010215836 CN 201010215836 A CN201010215836 A CN 201010215836A CN 101887115 B CN101887115 B CN 101887115B
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Abstract
The invention discloses a pulsed detection threshold computation module, comprising a noise decorrelation module, a noise direct current elimination module, a noise wild value elimination module, a noise mean square root module, a pulsed preprocessing module, a pulsed elimination module, a noise mean value module and a threshold output module which are connected in sequence, wherein a video pulse signal with noise is respectively input to the noise decorrelation module, the noise direct current elimination module, the pulsed preprocessing module and the pulsed elimination module; the noise decorrelation module, the noise direct current removing module, the noise wild value elimination module and the noise mean square root module are connected in sequence; the noise mean square root module is respectively output to the noise wild value elimination module, the pulsed elimination module and the threshold output module; and the pulsed preprocessing module, the pulsed elimination module, the noise mean value module and the threshold output module are connected in sequence. The pulsed detection threshold computation module of the invention can calculate characteristic value mean value and variance at real time, dynamically and high precisely, acquires pulsed detection optimum threshold according to preset false-alarm demand to realize optimum interception of the pulsed signal, and is convenient to be realized in programmable devices.
Description
Technical field
The present invention relates to a kind of pulsed detection threshold computation module, belong to radar pulse signal and scout and the acquisition mechanism technical field.
Background technology
Radar electronic warfare is to obtain enemy radar and armament systems information, destroys or upset tactics or the technology of enemy radar or armament systems normal operation.The characteristics of radar electronic warfare are broadbands, and momentary signal detects, and signal parameter is measured and high speed signal is processed.Reality is intercepted and captured fast and is analyzed the radar target signal in large noise circumstance exactly.Signal interception is the precondition of follow-up signal analysis and processing.No matter adopt the signal receiver of what form, signal interception finally all needs to determine a threshold value according to certain criterion, according to this existence of limit value decision signal, obtain the radar pulse data, then carry out analyzing and processing, make opposed decision-making.In this process, too high thresholding is so that intercept probability reduces or detection range is shortened, and excessively low thresholding is then so that the receiver false-alarm probability is excessive.Therefore, how taking into account both requirements, to obtain the pulse detection optimum thresholding, is important technical links in the radar electronic warfare.
Summary of the invention
The purpose of this invention is to provide a kind of can be according to the variation of external environment and the false-alarm requirement of setting, to the pulse signal in the steady or accurate stationary random signal, calculate real-time dynamicly optimum thresholding, to realize the pulsed detection threshold computation module of pulse signals optimum detection.
In order to realize the foregoing invention purpose, its concrete technical scheme is: a kind of pulsed detection threshold computation module comprises that noise de-correlation modules, the noise of orderly connection goes DC Module, noise elimination of burst noise module, noise mean square root module, pulse pretreatment module, pulse cancellation module, noise average module and threshold output module; The video pulse signal of making an uproar inputs to respectively noise de-correlation modules, arteries and veins pretreatment module and pulse cancellation module; Noise de-correlation modules, noise go DC Module, noise elimination of burst noise module to be connected with noise mean square root module and to connect; Noise mean square root module exports respectively noise elimination of burst noise module, pulse cancellation module and threshold output module to; Pulse pretreatment module, pulse cancellation module, noise average module are connected with threshold output module and are connected.
Pulsed detection threshold computation module of the present invention can calculate eigenwert average and the variance of noise real-time dynamicly, accurately, then according to the false-alarm requirement of setting, obtains the pulse detection optimum thresholding, realizes that the best of pulse signals is intercepted and captured; And be convenient in programming device, realize.
Description of drawings
Fig. 1 is electrical schematic diagram of the present invention.
Embodiment
As shown in Figure 1, pulsed detection threshold computation module of the present invention comprises that noise de-correlation modules, the noise of orderly connection goes DC Module, noise elimination of burst noise module, noise mean square root module, pulse pretreatment module, pulse cancellation module, noise average module and threshold output module.The video pulse signal of making an uproar to be detected inputs to respectively noise de-correlation modules 1, arteries and veins pretreatment module 5 and pulse cancellation module 6.Noise de-correlation modules, noise go DC Module 2, noise elimination of burst noise module 3 to be connected with noise mean square root module successively to connect; Noise mean square root module exports respectively noise elimination of burst noise module, pulse cancellation module and threshold output module 8 to; Pulse pretreatment module, pulse cancellation module, noise average module 7 are connected with threshold output module and are connected.
Noise goes DC Module 2 to utilize method of difference to eliminate flip-flop in the video noise vision signal.Its principle is: if a Serial No. comprises flip-flop, then the difference of two adjacent points will be removed flip-flop.
Noise elimination of burst noise module 3 is utilized the noise probability density characteristics, and the noise figure that is higher than several times noise mean square root value can be regarded exceptional value as and abandon.Its principle is: comprise the random noise sequences of signal through after the calculus of differences, the edge of signal can produce the very large short pulse of amplitude, has extremely wide frequency spectrum, the energy of noise is increased, the root-mean-square value that is noise is compared the meeting change greatly with actual conditions, this is the interference that is caused by signal, must get rid of.After the eliminating, be zero random noise signal with regard to obtaining the very approximate average of noise power and actual conditions.
Value after noise mean square root module 4 utilizes IIR filter to squared noise carries out obtaining square root with successive approximation method behind the smothing filtering.Its principle is: at first a square processing is carried out in the output of noise elimination of burst noise module, then carried out filtering with the narrow unlimited impact lowpass response wave filter of a very bandwidth, obtain the mean square value of noise, at last this mean square value is asked square, obtain the root-mean-square value of noise.
Pulse pretreatment module 5 utilizes IIR filter that the noise spike signal that comprises pulse is carried out filtering.Its principle is: the noise sequence that comprises signal is inputted the narrow unlimited impact lowpass response wave filter of a very bandwidth carry out filtering, because the phase place hysteresis characteristic of IIR filter, obtain a noise sequence that comprises the distorted pulse signal, the rising edge of pulse becomes slowly, and its output can be regarded the successively rough approximation to the noise average as.
Pulse cancellation module 6 utilizes root mean square several times that the output of pulse pretreatment module adds noise mean square root module output as decision threshold, is considered to exceptional value and is abandoned for the noise spike signal greater than this thresholding.Its principle is: the pulse signal of the distortion of pulse pretreatment module output is compared with the pulse signal in the original noise, rising edge is slow, utilize the impact of this difference and noise, the root mean square several times of module output as decision threshold, are considered to exceptional value and are abandoned for the noise spike signal greater than this thresholding.So just can eliminate the most of pulse composition in the raw video signal.The quasi-noise that is only comprised the partial pulse composition.
Noise average module 7 utilizes IIR filter to carry out filtering to eliminating postimpulse noise signal.Its principle is: utilize the reservation data of the narrow unlimited impact lowpass response wave filter paired pulses cancellation module output of a very bandwidth to carry out filtering, acquired results is exactly the accurate average of noise.
Pulse cancellation module and noise average module cascade, can unconfinedly approach the actual value of noise.In the present embodiment, pulse cancellation module and noise average module cascade are twice.If need more accurate approaching, then can adopt the above cascade of two-stage.
Threshold output module 8 utilizes the output of noise average module to add that the output of noise mean square root module exports as it.Its principle is: threshold level is that the average of noise adds that noise mean square root is on duty with a coefficient, thinks pulse signal greater than the value of this level, otherwise then thinks noise.
It is relevant that the key technical indexes of the present invention and parameter arrange, and can reach following index generally speaking:
Noise mean square root value error :≤± 3LSB.The noise mean value error :≤± 3LSB.
Claims (1)
1. pulsed detection threshold computation module, it is characterized in that: the noise de-correlation modules (1), the noise that comprise orderly connection go DC Module (2), noise elimination of burst noise module (3), noise mean square root module (4), pulse pretreatment module (5), pulse cancellation module (6), noise average module (7) and threshold output module (8); The video pulse signal of making an uproar inputs to respectively noise de-correlation modules, pulse pretreatment module and pulse cancellation module; Noise de-correlation modules, noise go DC Module, noise elimination of burst noise module to be connected with noise mean square root module and to connect; Noise mean square root module exports respectively noise elimination of burst noise module, pulse cancellation module and threshold output module to; Pulse pretreatment module, pulse cancellation module, noise average module, threshold output module connect successively;
Described noise de-correlation modules (1) is utilized the mode of decimation in time, rationally eliminates the correlativity of noise sequence of video signals;
Described noise goes DC Module (2) to utilize method of difference to eliminate flip-flop in the video noise vision signal;
Described noise elimination of burst noise module (3) is utilized the zero mean noise probability density characteristics, and the noise figure that is higher than several times noise mean square root value is regarded as exceptional value and abandons;
Value after described noise mean square root module (4) utilizes IIR filter to squared noise carries out obtaining square root with successive approximation method behind the smothing filtering;
Described pulse pretreatment module (5) utilizes IIR filter that the video pulse signal of making an uproar is carried out filtering;
Described pulse cancellation module (6) utilizes the output of pulse pretreatment module to add that the root-mean-square value of noise mean square root module output multiply by suitable coefficient as decision threshold, is considered to exceptional value and is abandoned for the vision signal of making an uproar greater than this thresholding;
Described noise average module (7) utilizes the noise signal of IIR filter paired pulses cancellation module output to carry out filtering;
Described threshold output module (8) utilizes the output of noise mean square root module multiply by to add behind the coefficient output of noise average module to export as it.
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| CN101325431B (en) * | 2008-06-10 | 2011-09-21 | 中国科学技术大学 | Method for interception of impulse radio signal based on amplitude statistics |
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