Optimization method and an optimized filter for sidelobe suppression

• US 5,070,337 A
• Filed: 04/05/1991
• Issued: 12/03/1991
• Est. Priority Date: 04/05/1991
• Status: Expired due to Fees

• Current Assignee: Juhani Oksman, Xiao H. Chen
• Original Assignee: Juhani Oksman, Xiao H. Chen
• Inventors: Chen, Xiao H., Oksman, Juhani
• Primary Examiner(s): Hellner, Mark
• Application Number:
  US07/681,329
• Time in Patent Office: 242 Days
• Field of Search: 342/132, 342/145, 342/201
• US Class Current: 342/201
• CPC Class Codes: G01S 13/288 phase modulated
• CPC Class Codes: G11B 15/68 Automatic cassette changing arrangements; automatic tape changing arrangements
• CPC Class Codes: G11B 17/22 from random access magazine of disc records

Abstract

An optimization method for sidelobe suppression filters, and a filter utilizing a binary coding waveform are formulated. The method comprises expanding the frequency transfer function of an ideal sidelobe suppression filter into a polynomial series; truncating the polynomial series into a finite-termed polynomial series with unknown weighting coefficients A,B,C,D . . . , using the inverse Fourier transform to convert the finite-termed polynomial series into the corresponding pulse response in the time domain; then using the LP algorithm to minimize the output peak sidelobes to determine all the weighting coefficients A, B, C, D . . . and inserting them back to the inverse transfer function of the optimized filter.

Claims

1. An optimization method for sidelobe suppression for a pulse compression radar system utilizing a binary coding waveform, said method comprising

using a polynomial series with unknown coefficients A, B, C, D, . . . to approximate an ideal sidelobe suppression filter transfer function H(f) in a frequency domain,

converting the polynomial series from the frequency domain to a time domain by an inverse Fourier transform,

optimizing the coefficients A, B, C, D . . . so as to minimize output peak sidelobes, and

inserting the optimized coefficients A, B, C, D into the transfer function H(f) of the sidelobe suppression filter.

2. The optimization method for sidelobe suppression according to claim 1, where the approximation of the ideal transfer function is obtained by using a finite-termed polynomial sequence with unknown weighting coefficients A, B, C, D . . . , where the poly-nomial approximation of the transfer function H(f) is ##EQU10## where A, B, C, D are the coefficients to be optimized, f is the frequency, N is the length of the utilized binary code and T is the width of sub-pulse of a Barker code.

3. The optimization method for sidelobe suppression according to claim 1, where the optimization of the coefficients A, B, C, D . . . of the approximating transfer function H(f) is obtained by using the Linear Programming algorithm in the time domain.

4. The optimization method for sidelobe suppression according to claim 1, where the binary code waveform is an 11 bit or 13 bit Barker code.

5. The optimization method for sidelobe suppression according to claim 1, where the binary code waveform is a truncated PN sequence.

6. The optimization method for sidelobe suppression according to claim 1, where the binary code waveform is a concatenated code.

7. A sidelobe suppression filter for pulse compression radar systems utilizing an 11 bit Barker code as a binary coding waveform, comprising input and output elements, delay elements, adder elements, multiplication elements and connections between said elements, whereby an approximation of the transfer function H(f) of the filter is ##EQU11## where A, B, C and D are weighting coefficients to be optimized, f is the frequency, N is the length of the Barker code and T is the width of sub-pulse of the Barker code, and the coefficients are optimized so as to minimize an output peak sidelobe and, for a 1st order approximation of the transfer function H(f) and for an 11 bit Barker code, the ratio between the coefficients A:

B is equal to 7;

1, and C and D are equal to 0.

8. A sidelobe suppression filter for pulse compression radar systems utilizing a 13 bit Barker code as a binary coding waveform, comprising input and output elements, delay elements, adder elements, multiplication elements and connections between said elements, whereby an approximation of the transfer function H(f) of the filter is ##EQU12## where A, B, C and D are weighting coefficients to be optimized, f is the frequency, N is the length of the Barker code and T is the width of sub-pulse of the Barker code, and the coefficients are optimized so as to minimize an output peak sidelobe and, for a 1st order approximation of the transfer function H(f) and for a 13 bit Barker code, the ratio between the coefficients A:

B is equal to 25;

-1 and C and D are equal to 0.

9. A sidelobe suppression filter for pulse compression radar systems utilizing an 11 bit Barker code as a binary coding waveform, comprising input and output elements, delay elements, adder elements, multiplication elements and connections between said elements, whereby an approximation of the transfer function H(f) of the filter is ##EQU13## where A, B, C and D are weighting coefficients to be optimized, f is the frequency, N is the length of the Barker code and T is the width of sub-pulse of the Barker code, and the coefficients are optimized so as to minimize an output peak sidelobe and, for a 2nd order approximation of the transfer function H(f) and for an 11 bit Barker code, the ratio between the coefficients A:

B;

C is equal to 44;

4;

1, and D is equal to 0.

10. A sidelobe suppression filter for pulse compression radar systems utilizing a 13 bit Barker code as a binary coding waveform, comprising input and output elements, delay elements, adder elements, multiplication elements and connections between said elements, whereby an approximation of the transfer function H(f) of the filter is ##EQU14## where A, B, C and D are weighting coefficients to be optimized, f is the frequency, N is the length of the Barker code and T is the width of sub-pulse of the Barker code, and the coefficients are optimized so as to minimize an output peak sidelobe and, for a 2nd order approximation of the transfer function H(f) and for a 13 bit Barker code, the ratio between the coefficients A:

B;

C is equal to 366,6;

-27,4;

1, and D is equal to 0.

11. A sidelobe suppression filter for pulse compression radar systems utilizing an 11 bit Barker code as a binary coding waveform, comprising input and output elements, delay elements, adder elements, multiplication elements and connections between said elements, and an approximation of the transfer function H(f) of the filter is ##EQU15## where A, B, C and D are weighting coefficients to be optimized, f is the frequency, N is the length of the Barker code and T is the width of sub-pulse of the Barker code, and the coefficients are optimized so as to minimize an output peak sidelobe and, for a 3rd order approximation of the transfer function H(f) and for an 11 bit Barker code, the ratio between the coefficients A:

B;

C;

D is equal to 172,1;

8,75;

0,0;

0,729.

12. A sidelobe suppression filter for pulse compression radar systems utilizing a 13 bit Barker code as a binary coding waveform, comprising input and output elements, delay elements, adder elements, multiplication elements and connections between said elements, whereby an approximation of the transfer function H(f) of the filter is ##EQU16## where A, B, C and D are weighting coefficients to be optimized, f is the frequency, N is the length of the Barker code and T is the width of the sub-pulse of the Barker code, and where the coefficients are optimized so as to minimize the output peak sidelobe and, for a 3rd order approximation of the transfer function H(f) and for a 13 bit Barker code, the ratio between the coefficients A:

B;

C;

D is equal to 4953,0;

-420,3;

28,48;

-0,88.