Universal radar constant false alarm rate detector and data sorting method thereof

Abstract

The invention discloses a universal radar constant false alarm rate detector and a data sorting method thereof. The universal radar constant false alarm rate detector includes a data preprocessing module, a sorting processing module, an RAM control module, a parameter estimating module, a sifting processing module, a threshold generating module and an output logic processing module. According to the universal radar constant false alarm rate detector and the data sorting method thereof, the optimized constant false alarm schemes under multiple clutter environments are organically combined to construct the optimized constant false alarm rate detector in the current environment background, and the defects in an existing solution scheme are overcome. Meanwhile, the universal radar constant false alarm rate detector and the data sorting method thereof have the advantages of high reliability, high real-time performance, high engineering practicability and the like. According to the data sorting method of the universal radar constant false alarm rate detector, a sorting table updated along with data flow in real time is additionally arranged without breaking original data structural flow, the values of a reference unit under the selected sorting number can be obtained by inquiring the sorting table, and therefore real-time processing of data is completed.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a radar universal constant false alarm rate detector suitable for complex environment backgrounds. Background technique [0002] In automatic radar detection, radar constant false alarm rate processing can prevent the terminal computer from being overloaded due to too strong interference, thereby ensuring the normal operation of the radar; The purpose of losing a little detection ability under strong interference but still working. Therefore, the radar constant false alarm detector is the main technical index to measure the radar signal detection and processing performance, and it is one of the key technologies in the design of the radar signal processing system. [0003] According to the signal processing theory, the detection and false alarm performance of the square-law detector based on Gaussian white noise interference to a single target is equal to the func...

AI Technical Summary

Problems solved by technology

The advantage of this solution is that it is designed for a special clutter environment, the circuit structure is simple, and the resource consumption is less, but the disadvantage is that this constant false alarm solution often only has better constant False alarm performance, if the external clutter environment changes, the detection loss of constant false alarm will rise sharply, resulting in a decrease in the detection probability of the entire radar system, thus affecting the use efficiency of the radar

[0007] Another existing solution is to use processing chips such as PowerPC or DSP to integrate the above-mentioned constant false alarm schemes in various clutter environments into one processing software by programming in C language, and select the most suitable solution according to the actual situation. CFAR algorithm in clutter environment, the advantage of this method is that it is easy to implement and the hardware is simple, but the disadvantage is that the real-time performance is not high, especially when dealing with ordered statistical constant false alarm, it needs to use the bubble algorithm to sort. The average time complexity and space complexity are very high, which limits the application of this constant false alarm solution

[0008] To sum up, for the implementation of constant false alarm rate detectors in complex environments, if the first solution is adopted, although the circuit structure is simple and the resource consumption is less, it is only for a certain clutter environment and the use efficiency is low ; If the second solution is adopted, although the limitation of the first solution to the clutter environment is solved, and it is simple to implement, but the real-time performance is not high, and there are restrictions on some occasions that require quick response

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