Efficient physical layer preamble format
First Claim
1. A method for generating a preamble of a data unit, the method comprising:
- generating a short training field (STF) of the preamble to include one of a repeating series of a sequences or a repeating series of b sequences;
wherein a and b are complementary sequences, wherein a sum of out-of-phase aperiodic autocorrelation coefficients of a and b is zero;
wherein the STF is associated with at least synchronization information;
generating a long training field (LTF) of the preamble after the STF to include a′
sequences and b′
sequences;
wherein a′
is the sequence a cyclically shifted by zero or more positions, and wherein b′
is the sequence b cyclically shifted by zero or more positions; and
wherein the LTF is associated with channel estimation information.
6 Assignments
0 Petitions
Accused Products
Abstract
A method for generating a preamble of a data unit includes generating a short training field (STF) of the preamble to include one of a repeating series of a sequences or a repeating series of b sequences, such that a and b are complementary sequences, a sum of out-of-phase aperiodic autocorrelation coefficients of a and b is zero, and where the STF is associated with at least synchronization information, and generating a long training field (LTF) of the preamble after the STF to include a′ sequences and b′ sequences, such that a′ is the sequence a cyclically shifted by zero or more positions, b′ is the sequence b cyclically shifted by zero or more positions, and where the LTF is associated with channel estimation information.
-
Citations
10 Claims
-
1. A method for generating a preamble of a data unit, the method comprising:
-
generating a short training field (STF) of the preamble to include one of a repeating series of a sequences or a repeating series of b sequences; wherein a and b are complementary sequences, wherein a sum of out-of-phase aperiodic autocorrelation coefficients of a and b is zero; wherein the STF is associated with at least synchronization information; generating a long training field (LTF) of the preamble after the STF to include a′
sequences and b′
sequences;wherein a′
is the sequence a cyclically shifted by zero or more positions, and wherein b′
is the sequence b cyclically shifted by zero or more positions; andwherein the LTF is associated with channel estimation information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
Specification