A Parametric Leakage Target Detection Method Applicable to Partially Uniform Reverberation Background
A parametric and uniform technology, applied in the field of signal detection, which can solve the problems of huge computational complexity, inapplicability, and high requirements on auxiliary data length, so as to reduce computational complexity and dependencies.
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Embodiment 1
[0014] Embodiment 1 specifically introduces the design process of the detector, such as figure 1 Shown:
[0015] First, in the background of partial uniform reverberation, a multi-channel discrete-time model of reverberation and signal is established for the echo data to be detected. Under the leakage target model, the received echo vector z of the lth distance unit to be detected l (n) is:
[0016]
[0017] Among them, N a is the number of airspace channels of the uniform line array, N p The number of time-domain pulses received by each array element, the space-time processing dimension N=N a N p , d l (n) represents the reverberation interference component that obeys the Gaussian distribution, s l (n) represents a leakage signal component.
[0018] Leakage signal component s l (n) can be expressed as:
[0019]
[0020] where α is the unknown target magnitude factor, χ p (·,·) is the ambiguity function of the transmitted waveform, T p is the pulse width, ε 0...
Embodiment 2
[0075] Embodiment 2 is detector performance detection.
[0076] Embodiment 2 Using the Monte-Carlo simulation method to measure the detection probability P of the MP-ACE detector in a partially uniform environment d And the distance estimation error performance is analyzed, and compared with the M-ACE detector proposed by Orlando and Ricci. Considering the reliability of the simulation results, set the detection probability P d and the number of independent experiments for distance estimation error estimates were 10 4 and 10 3 , false alarm probability P fa and the number of independent trials for the Monte-Carlo simulation were 10 -4 and 100 / P fa . The target real residual delay ε is uniformly distributed in (t min +(l-1)T P -T P / 2,t min +(l-1)T P +T P / 2), where t min represents the starting moment of the sampling process. In order to ensure the fairness of the comparison, the grid search method is used to estimate the maximum value of ε, and the value range i...
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