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Waveform optimization method of static clutter environment moving target detection based on priori knowledge

A technology of moving target detection and prior knowledge, which is applied in the field of waveform optimization for moving target detection in complex environments, achieving the effect of high detection probability

Inactive Publication Date: 2018-05-18
SHANGHAI RADIO EQUIP RES INST
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Problems solved by technology

This kind of waveform design based on prior information for moving target detection in complex environments has not been really studied.

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  • Waveform optimization method of static clutter environment moving target detection based on priori knowledge
  • Waveform optimization method of static clutter environment moving target detection based on priori knowledge
  • Waveform optimization method of static clutter environment moving target detection based on priori knowledge

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Embodiment Construction

[0021] The present invention provides a waveform optimization method for detecting moving targets in a complex environment based on prior knowledge, and the background clutter response h is known c (t) is modeled as a generalized stationary complex Gaussian random process; the additive noise response also obeys the complex Gaussian random distribution; the target moving speed is known. According to the Naiman-Pearson criterion, the frequency domain of the transmitted waveform is designed to achieve the optimal waveform based on the detection rate for a specific moving target. The specific process block diagram is as follows figure 1 Shown.

[0022] S1. The radar transmits detection signals to detect and calculate the radial velocity information of the moving target;

[0023] S2. Obtain the prior information of target response and clutter response, and model the background clutter response as a broad

[0024] Semantic stationary complex Gaussian random process; additive noise respons...

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Abstract

The invention provides a waveform optimization method of static clutter environment moving target detection based on priori knowledge. The waveform optimization method of static clutter environment moving target detection based on priori knowledge can utilize the priori knowledge to obtain the priori information of target response and clutter response, can determine the moving target echo signal model, can design a transmitted waveform frequency domain according to the Neyman-Pearson criterion so as to optimize the waveform, facing the moving target, based on the verification and measurement ratio, can analyze different noise types, can design the optimum transmitted waveform energy spectrum ESD, and then can perform inverse transformation on the time domain for the next impulse transmission. Therefore, in the same false alarm probability, the detection probability facing the moving target can achieve maximum.

Description

Technical field [0001] The invention relates to the field of radar waveform design, in particular to a priori knowledge-oriented waveform optimization technology for moving target detection in a complex environment Background technique [0002] The principle of the traditional moving target detection radar is to use the Doppler frequency shift of the moving target's echo to distinguish the moving target from the fixed target. At present, most moving target detection radars use fixed signals to detect moving targets, such as chirp signals, phase-encoded signals, etc. The time domain or frequency domain of its waveform is not used to detect target characteristics and clutter characteristics. The only difference is to analyze the phase change of the echo signal after the fixed signal illuminates the scene. [0003] The patent number CN201610578611.3 (a method for radar waveform design optimization) provides a waveform design optimization method with better pushpin ambiguity function,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/282
CPCG01S7/282
Inventor 朱炳祺黄飞陆满君杜科
Owner SHANGHAI RADIO EQUIP RES INST
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