NGHIÊN CỨU XÂY DỰNG BỘ LỌC LMS TUYẾN TÍNH ĐỂ KHỬ NHIỄU TRONG XỬ LÝ TÍN HIỆU RA ĐA=STUDY OF LINEARLY CONSTRAINED LMS FILTER FOR CANCELLING NOISE IN RADAR SIGNAL PROCESSING

0 Người đánh giá. Xếp hạng trung bình 0

Tác giả: Quốc Khánh Mạc

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Tạp chí Khoa học và Công nghệ - Đại học Thái Nguyên, 2024

Mô tả vật lý: tr.175 - 183

Bộ sưu tập: Báo, Tạp chí

ID: 484535

Thêm vào giỏ

In electronic warfare, accurate estimation of signal parameters plays an important role in helping to correctly identify radiation sources and determine their operating modes. On the other hand, the signal at the receiver consists of echo and noisy signals. Therefore, to improve accuracy when estimating signal parameters, this article studies the linearly constrained last mean square algorithm (LC-LMS) for reducing noise in signal processing and verifies with a generated radar signal by generator E8267D. The effectiveness of the LC-LMS filter is evaluated through two main steps: the first step provides a simulation of the LC-LMS and compares it with LMS and its variants, such as normalized LMS (NLMS) and leaky LMS (LLMS), with simulated radar signals such as continuous waveforms and radar pulses in a MATLAB environment. The second step provides verification of the LC-LMS filter by generating radar signals from vector signal generator E8267D. Simulation results show that the LC-LMS filter has better noise filtering than the LMS and its variants, such as the NLMS and LLMS. Additionally, the validation results confirm that the LC-LMS filter can be applied to real-time radar signals with a signal-to-noise ratio (SNR) greater than 0 dB.Trong tác chiến điện tử, ước lượng chính xác các tham số tín hiệu đóng vai trò quan trọng giúp nhận dạng đúng các nguồn phát xạ và đưa ra các chế độ hoạt động của nó. Mặt khác, tín hiệu tại đầu vào máy thu bao gồm có các tín hiệu có ích và nhiễu. Chính vì vậy để nâng cao độ chính xác khi ước lượng các tham số tín hiệu, trong bài báo này tác giả nghiên cứu xây dựng bộ lọc tuyến tính thích nghi trung bình (LC-LMS) cho bài toán lọc nhiễu các tín hiệu ra đa. Hiệu quả của bộ lọc LC-LMS được đánh giá qua 2 bước chính: Bước một mô phỏng bộ lọc trên phần mềm MATLAB và so sánh với các bộ LMS và các cải tiến của LMS như: LMS chuẩn hóa (NLMS) hay LMS xấp xỉ (LLMS). Bước 2 kiểm chứng hiệu quả của LC-LMS với các tín hiệu từ máy phát sóng chuẩn E8267D. Kết quả mô phỏng cho thấy bộ lọc LC-LMS có khả năng lọc nhiễu tốt hơn so với các bộ lọc LMS và các bộ LMS cải tiến như: NLMS và LLMS. Ngoài ra, các kết quả thực nghiệm khẳng định rằng bộ lọc LC-LMS thích hợp xử lý các tín hiệu thời gian thực với tỉ số tín/tạp lớn hơn 0 dB.

1. Đọc trực tuyến

1. Đọc trực tuyến

Tạo bộ sưu tập với mã QR