In this paper, we consider the multi-frame integration (including intra-frame integration and inter-frame integration) problem for the detection of weak moving targets, where range walk effect (RWE) occurs within the integration time. A novel integration method is proposed to achieve the accumulation of a target's multi-frame radar echoes. More specifically, the proposed integration method contains two main steps, where the modified Radon Fourier transform (RFT) is firstly used to realize the intra-frame coherent integration for every frame of echo signals. After that, the RFT-domain integration algorithm is presented to achieve the inter-frame coherent integration based on the characteristics of RFT outputs, during which the accumulation of target energy distributed in multiple frames could be realized. The explicit expressions and analysis for various performance measures of the proposed method, such as integration output response, probability of detection, input-output signal-to-noise ratio (SNR), and blind speed sidelobe (BSSL) response are derived and given. Simulation experiments are given to demonstrate the effectiveness of the proposed method.
机构:
Beijing Inst Technol, Beijing 100081, Peoples R China
Beijing Inst Remote Sensing Equipment, Beijing, Peoples R ChinaBeijing Inst Technol, Beijing 100081, Peoples R China
Tian, Jing
;
Xia, Xiang-Gen
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen Univ, Shenzhen, Peoples R China
Univ Delaware, Newark, DE USABeijing Inst Technol, Beijing 100081, Peoples R China
Xia, Xiang-Gen
;
Cui, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Inst Technol, Beijing 100081, Peoples R ChinaBeijing Inst Technol, Beijing 100081, Peoples R China
Cui, Wei
;
Yang, Gang
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Inst Remote Sensing Equipment, Beijing, Peoples R ChinaBeijing Inst Technol, Beijing 100081, Peoples R China
Yang, Gang
;
Wu, Si-Liang
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Inst Technol, Beijing 100081, Peoples R ChinaBeijing Inst Technol, Beijing 100081, Peoples R China
机构:
Beijing Inst Technol, Beijing 100081, Peoples R China
Beijing Inst Remote Sensing Equipment, Beijing, Peoples R ChinaBeijing Inst Technol, Beijing 100081, Peoples R China
Tian, Jing
;
Xia, Xiang-Gen
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen Univ, Shenzhen, Peoples R China
Univ Delaware, Newark, DE USABeijing Inst Technol, Beijing 100081, Peoples R China
Xia, Xiang-Gen
;
Cui, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Inst Technol, Beijing 100081, Peoples R ChinaBeijing Inst Technol, Beijing 100081, Peoples R China
Cui, Wei
;
Yang, Gang
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Inst Remote Sensing Equipment, Beijing, Peoples R ChinaBeijing Inst Technol, Beijing 100081, Peoples R China
Yang, Gang
;
Wu, Si-Liang
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Inst Technol, Beijing 100081, Peoples R ChinaBeijing Inst Technol, Beijing 100081, Peoples R China