Pearson rank variable correlation coefficient based signal detection circuit and method

Abstract

The invention relates to a Pearson's rank-variate correlation coefficient based signal detection circuit which comprises a comparator array, a subtracter array, a squarer array, a multiplier array, two adder trees, a square root extractor, a divider and a register, wherein the comparator array, the subtracter array and the squarer array are respectively arranged as n*n matrixes (n is the signal length); each element on the matrixes is respectively subjected to comparison operation and subtraction; the multiplier array is arranged as multipliers with n<2>*2 inputs; the adder trees are arranged as adders with n<2> inputs; the divider is used for finishing 2 input dividing operation; the register is used for registering a result of a related operation. When an impulse noise component is contained in environmental noise, the matching for the correlation coefficients of a filter and a product moment is basically invalid, and a Pearson's rank-variate correlation coefficient in the environmental noise containing the impulse noise component presents excellent robustness, including a mathematical expectation approaching to a true value and a smaller standard deviation.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a signal detection circuit and method based on Pearson rank variable correlation coefficient. Background technique [0002] Capturing the echo signals of radar and sonar for delay detection, and signal synchronization in radio communication requires signal detection of received signals to determine whether a specific signal has been received by the receiver. Therefore, the signal detection of the received signal is a very important issue. At present, the means of signal delay detection are mainly matched filters and improved filters based on them. A matched filter is an optimal linear filter in the sense of maximizing the signal-to-noise ratio of the output signal. Because of its simple form, easy realization, and complete theoretical proof, it has been widely used. However, the matched filter is demonstrated and designed under the assumption that the environmental ...

AI Technical Summary

Problems solved by technology

The relevant literature has proved that PPMCC is extremely sensitive to the impulse noise in the signal and cannot work well in the impulse noise environment

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