초록 ▼

A time efficient method for processing digitized doppler radar signals and establishing adaptive target detection thresholds which are used to distinguish targets from noise and clutter. After subdividing the range-doppler matrix into several equally-sized parallel processing elements, the radar sys

A time efficient method for processing digitized doppler radar signals and establishing adaptive target detection thresholds which are used to distinguish targets from noise and clutter. After subdividing the range-doppler matrix into several equally-sized parallel processing elements, the radar system\s signal processor executes this process on each processing element in parallel. This process involves the processing of the digitized radar signals stored in each parallel processing element by integrating over the amplitudes of each data cell in a given parallel processing element. This, in turn, yields a secondary data array for each parallel processing element equal in dimension to the parallel processing element itself. Target detection thresholds for all cells in each parallel processing element can then be established from the values stored in these secondary data arrays. This process is time efficient in that the number of signal processing steps needed to establish the target detection thresholds for each and every data cell in the range-doppler matrix is independent of the number of targets and unique noise, clutter regions in the surveillance area.

대표청구항 ▼

A process applicable to doppler radar systems that can produce a unique target detection threshold for every cell in a two-dimensional data array, herein referred to as a range-doppler matrix, which is completely independent of the number of unique target, clutter, noise regions in a surveillance ar

A process applicable to doppler radar systems that can produce a unique target detection threshold for every cell in a two-dimensional data array, herein referred to as a range-doppler matrix, which is completely independent of the number of unique target, clutter, noise regions in a surveillance area associated with said range-doppler matrix, said process comprising the steps of: a. digitizing and storing radar signal returns in memory in the form of said range-doppler matrix, ‘r’range gates long and ‘d’doppler filters wide, wherein each data element in said range-doppler matrix is herein referred to as a range-doppler cell, wherein said range-doppler matrix is divided, for Single Instruction, Multiple Data (SIMD) signal processing purposes, into several, equally sized parallel processing elements; b. integrating said radar signal amplitudes for each range-doppler cell in a given parallel processing element resulting in a secondary, two-dimensional data array, quv; c. establishing a quantity, herein referred to as an ‘areasum’, which is a function of targets, if any exist, background noise, and clutter in a region surrounding and including said range-doppler cell for which said process must determine said adaptive target detection threshold; d. establishing a quantity, herein referred to as a ‘windowsum’, which is primarily a function of said target\s characteristics, if one exists, in said range-doppler cell for which said process must determine said adaptive target detection threshold; e. establishing said adaptive target detection threshold for said range-doppler cell by removing any signal bias, represented by the value of said windowsum, from said areasum, then averaging that result with a normalizing factor.